Verified Simulation Model Research Articles

Numerical optimization for acoustic performance of the micro-perforated plate and its application in high-speed trains

Currently, researches on the acoustic radiation efficiency and sound insulation performance of the micro-perforated plate mainly focused on the experimental test, and the numerical simulation is rarely reported. In this paper, firstly, the discrete element method was applied to test the acoustic radiation efficiency of the micro-perforated plate. It was shown that the experimental result was reliable, which made up for the deficiency of the traditional vibro-acoustic test method. Secondly, the pulse decay method was used to test the damping loss factor of the perforated plate. Then, the transfer admittance on both sides of the micro-perforated plate was computed to simulate the properties of the hole. Finally, the damping loss factor and admittance were imported into the boundary element model (BEM) of the micro-perforated plate, in order to compute the transmission loss, and it was compared with that of the experimental test. As shown from the compared result, the sound insulation performance of the micro-perforated plate can be predicted effectively using this method. Based on the verified simulation model, the impact of the hole diameter, plate thickness and perforation rate on sound insulation performance of the perforated plate was studied. However, each structural parameter of the perforated plate can't be optimal through the above analysis. As a result, an optimization design was conducted on it based on the improved genetic algorithm. Finally, the perforated plate which had the optimal structural parameter and performance was obtained. Finally, the optimized perforated plate was applied on the high-speed train, and the experimental results showed that the interior noise in the high-speed train was reduced obviously.

Two-Dimensional and Three-Dimensional Core and Magnet Loss Modeling in a Radial Flux and a Transverse Flux PM Traction Motor

Analytical estimations and verified simulation models both in two dimension (2-D) and three dimension (3-D) are used to compare loss calculations of a radial flux machine (RFM) and a transverse flux machine (TFM) for a traction application. The analysis highlights the importance of a dense mesh and a high number of time steps when calculating core and magnet loss with an finite element method (FEM) program. It also shows the practical handling of loss modeling in 2-D and 3-D, including a stacking factor for the core lamination and magnet segmentation, and it is recommended that one is careful when comparing losses from 2-D and 3-D models. The TFM is shown to have much higher magnet loss compared with the RFM, although the TFM magnet design (with ring magnets) makes segmentation very effective.

RETRACTED ARTICLE: Optimization design and reality of the virtual cutting process for the boring bar based on PSO-BP neural networks

Based on the traditional boring bar, a boring bar with friction damper is proposed in the paper. Firstly, the frequency response under different pressures is computed primarily based on the theory, which shows that the proposed boring bar has a certain vibration reduction effect. Secondly, the finite element model of the boring bar is built, and the first 6-order modes are computed, whose results are compared with the experimental value. As a result, the virtual reality of the boring bar is achieved. They are consistent with each other, which show that the finite element model is reliable. Then, the experimental cutting process of the boring bar is researched, which is compared with the simulation model with good coincidence. It is found from the result that the cutting simulation model of the boring bar is effective. Later, based on the verified simulation model, the positive pressure between the friction vibrator and boring bar, cutting speed, feed rate, back cutting depth and other parameters are changed to study the vibration reduction effects of the boring bar with friction damper. PSO (particle swarm optimization)-BP (backpropagation) neural network is then used to optimize the cutting process of the boring bar, and the optimal cutting parameters can be obtained. Finally, these optimized parameters are applied in the boring bar, the vibration reduction effect of the boring bar is verified by means of experiments, and the corresponding result shows that the proposed optimization in this paper is feasible. We can obtain higher quality work piece when we use this boring bar in the actual engineering.

Effects of PV array layout, electrical configuration and geographic orientation on mismatch losses caused by moving clouds

The mismatch losses of photovoltaic (PV) systems are mainly caused by partial shading and the largest mismatch losses are caused by sharp shadows. However, in large scale PV plants majority of shading events is caused by moving clouds which lead to gentle irradiance transitions causing typically only minor irradiance differences between adjacent PV modules. Irradiance transitions caused by the edges of cloud shadows have an average length of almost 150m meaning that even the largest PV power plants are widely affected by them. In addition of mismatch losses, these irradiance transitions can lead to failures in maximum power point tracking and cause significant fluctuations in the output power of PV systems.In this paper, the effects of PV array shape, electrical configuration and orientation on mismatch losses caused by moving clouds were studied based on apparent velocity and other measured characteristics of roughly 27,000 irradiance transitions. The study was conducted using a mathematical model and parametrisation method of irradiance transitions and an experimentally verified simulation model of a PV module based on the well-known one-diode model of a PV cell. The studied electrical PV array configurations were series-parallel, total-cross-tied and multi-string.The results of this study confirmed a prior conclusion, namely, that the mismatch losses decrease with decreasing PV string length. It was also found that the array orientation has a considerable effect on the mismatch losses of the studied array layouts. The mismatch losses were the smallest when the dominant direction of movement of the shadow edges was perpendicular to the PV strings. The differences in the mismatch losses between the studied electrical array configurations were very small. The results indicated that the mismatch losses caused by moving clouds have only a minor effect on the overall efficiency of PV arrays.

Particle swarm optimization of driving torque demand decision based on fuel economy for plug-in hybrid electric vehicle

In this paper, an energy management strategy based on logic threshold is proposed for a plug-in hybrid electric vehicle. The plug-in hybrid electric vehicle powertrain model is established using MATLAB/Simulink based on experimental tests of the power components, which is validated by the comparison with the verified simulation model which is built in the AVL Cruise. The influence of the driving torque demand decision on the fuel economy of plug-in hybrid electric vehicle is studied using a simulation. The optimization method for the driving torque demand decision, which refers to the relationship between the accelerator pedal opening and driving torque demand, from the perspective of fuel economy is formulated. The dynamically changing inertia weight particle swarm optimization is used to optimize the decision parameters. The simulation results show that the optimized driving torque demand decision can improve the PHEV fuel economy by 15.8% and 14.5% in the fuel economy test driving cycle of new European driving cycle and worldwide harmonized light vehicles test respectively, using the same rule-based energy management strategy. The proposed optimization method provides a theoretical guide for calibrating the parameters of driving torque demand decision to improve the fuel economy of the real plug-in hybrid electric vehicle.

Output power variation of different PV array configurations during irradiance transitions caused by moving clouds

This paper presents a study of the output power variation of different photovoltaic (PV) array configurations during irradiance transitions caused by moving clouds. The study was based on velocity and other characteristics of roughly 27,000 irradiance transitions identified in measured irradiance data and conducted using a mathematical model of irradiance transitions and an experimentally verified simulation model of a PV module. The studied electrical PV array configurations were series-parallel, total-cross-tied and multi-string. The different PV array orientations and layouts (physical shapes) of the configurations were also studied.The average rate of change of the power of these studied PV array configurations during the irradiance transitions was around 3%/s and the maximum instantaneous rates of change of the power were around 75%/s. Half of the time during the studied transitions, the rate of change in the power was over 1.2%/s, and most of the time during the transitions, it exceeded typical PV power ramp rate limits set by grid operators. The average rate of change of PV array power decreased with an increasing maximum array dimension and it was observed to be the largest when the shorter dimension of the array was parallel to the dominant movement direction of the shadow edges. The results of this study are relevant especially in terms of PV array design, maximum power point tracking algorithm development and energy storage systems sizing.

Characteristic Analysis of Planetary Gear Set of Hydromechanical Transmission System of Agricultural Tractors

Purpose: This study aims to establish the effect of pinhole position errors in the planet carrier of a planetary gear set (PGS) on load sharing among the planet gears in the hydromechanical transmission (HMT) system of an agricultural tractor. Methods: A simulation model of a PGS with five planet gears was developed to analyze load sharing among the planet gears. The simulation model was verified by comparing its results with those of a model developed in a previous study. The verified simulation model was used to analyze the load-sharing characteristics of the planet gears with respect to the pinhole position error and the input torque to the PGS. Results: Both simulation models had identical load magnitude sequences for the five planet gears. However, the load magnitudes on the corresponding planet gears differed between the models because of the different stiffnesses of the PGS components and the input torques to the PGS. The verified simulation model demonstrated that the evenness of load sharing among the planet gears increases with decreasing pinhole position error and increasing input torque. Conclusions: The geometrical tolerance of the pinhole position should be properly considered during the design of the planet carrier to improve the service life of the PGS and load sharing among the planet gears.

Prediction of deformation during manufacturing processes of silicon interposer package with TSVs

The purpose of this paper is to analyze and predict the thermal deformation of the through silicon via (TSV) interposer package during the manufacturing process and to perform a parametric study to minimize the warpage and thermal stress. Samples were selected during different stages of the assembly to observe the thermal behavior change. The Digital Image Correlation (DIC) technique was employed to measure the real-time deformation of the samples under thermal loading. To make a finite element analysis (FEA) model, material properties were characterized by DIC and Dynamic Mechanical Analysis (DMA). Based on the material properties and deformation data determined by experiments, a validated FEA model was established. To reduce the modeling complexity and the computing time in the simulation, the C4/underfill layer, micro bump/underfill layer, and TSV interposer were assumed to be isotropic. The most effective material properties for the isotropic layers were calculated by the composite theory. Also, the simulation followed the sequential manufacturing processes to investigate the thermal deformation change of each step and to obtain a more accurate prediction result. The thermal behavior from simulation showed a good agreement with the experimental result and this verified simulation model was implemented for the parametric study. A series of simulations were carried out to minimize the package warpage. To avoid any delamination failures, the stresses at the interface between the interposer and underfill were also evaluated. The effect of the interposer underfill material property, substrate material property, substrate thickness, and TSV density (Cu volume fraction) in the interposer were studied. It has been shown that low modulus, low coefficient of thermal expansion (CTE), and high glass transition temperature (Tg) underfill, as well as a low modulus and low CTE substrate can mitigate the package warpage and stress development at the interface between interposer and underfill. Also, a larger Cu volume TSV interposer and thick substrate can lessen the warpage of the package and stress at the interface.

Bridge Weigh-in-Motion Algorithms Based on the Field Calibrated Simulation Model

AbstractMost of the commercially available bridge weigh-in-motion (B-WIM) systems are based on an algorithm developed by Moses. The performance of this method was generally acceptable for estimating gross vehicle weight (GVW) but can be inadequate for estimating single axle load. Two alternative algorithms for the identification of vehicle axle loads are presented in this paper based on field verified simulation model using the semirigid frame system with multiple simplified span bridges. Both algorithms are based on the simulation of the entire bridge, representing realistic boundary conditions, bridge geometry properties, and field environment from field B-WIM testing results. The first alternative algorithm includes adjusting the experimental weight-in-motion (WIM) moment of the testing span from the simulation model to perform vehicle weight calculation. The second algorithm includes applying the simulated influence line from the simulation model to calculate the vehicle weight. Both approaches demons...

VEGAS: A Fuel Cycle Simulation and Preconditioner Tool with Restricted Material Balances

This paper introduces VEGAS, a lightweight and fast-executing fuel cycle simulator primarily intended to augment higher-fidelity fuel cycle simulators. VEGAS can act as a preconditioner as well as a platform for implementing endogenous decision making within these simulators. In preconditioner mode, VEGAS offers an iterative method for accelerating the convergence of fuel cycle optimization problems while ensuring that material balance and other constraints are met. The methodology utilized by VEGAS, particularly its mass balance and reactor deployment algorithms, is presented here. Unique to the VEGAS simulator is a rollback feature that undoes reactor build decisions if material balance constraints are violated. Included in the VEGAS code is an economics package, also documented here, that calculates the evolving levelized cost of electricity. Benchmark comparisons against the VISION (Verifiable Fuel Cycle Simulation Model) simulator are also presented, along with an example of VEGAS’s preconditioning capability in which the objective is to achieve a target system transuranics inventory while installing as little reprocessing capacity as possible.

Modeling, validation and energy flow analysis of a wheel loader

This paper presents a wheel loader simulation model, validation results and energy flow analysis. The developed simulation model will facilitate the performance evaluation and optimization process in the development stage of a prototype wheel loader. The wheel loader simulation model consists of mechanical and hydraulic powertrain model, multi-body dynamic model and working part dynamic model. The multi-body dynamic model is simplified since the effect of pitch and roll motion of the wheel loader on the energy flow of the powertrain and hydraulic actuator systems is insignificant, a simplified planar model for the dynamic vehicle is good enough for the objective of this study. Every component is modeled and integrated in a simulation package developed using Matlab/Simulink. The simulation model has been validated using experiment data and the validation results show that it effectively represents the actual dynamic characteristic of the target wheel loader. The verified simulation model will be used as a virtual platform to evaluate the performance of alternative powertrain models such as a dual-clutch transmission and hydrostatic transmission. An advanced control system can also be implemented and evaluated using the virtual platform.

Research on Bearing Radiation Noise and Optimization Design Based on Coupled Vibro-Acoustic Method

For bearings, radiation noise was an important evaluation index for mechanical property, in particularly mute machinery. Environmental pollution caused by bearing noise has always been the focus in bearing industry. In this paper, slippage of the rolling bearing and its own variable stiffness excitation were considered to accomplish the vibration coupling between the bearing and bearing seat as well as the coupling between bearing vibration and noise by means of combination of dynamic model, FEA model and boundary element method. A perfect coupled vibro-acoustic model of the bearing was built, and its results were compared with the experimental results to verify the reliability of the proposed method. Based on the verified simulation model, the improved design was carried out for the low-noise rolling bearings. Finally, in order to further verify the superiority of the proposed method in this paper, the designed rolling bearing was compared with that of the traditional design method. The results showed that the proposed design method was reliable.

USING CCHE2D MODEL FOR PREDICTION OF RIVER NILE HORIZONTAL VELOCITY DISTRIBUTION AND BED MORPHOLOGY

This paper addresses the usability of mathematical models for simulation of sediment pattern in the River Nile. Therefore, CCHE2D as a two-dimensional model was used for mathematical simulation in this work. Velocity distribution is one of the major parameters affecting sediment process in open channels and reservoirs. Since it is very difficult to simulate analytically the sediment process in channels and reservoirs, simulation models are mostly used. Accurate results from models simulating sediment process depends greatly on the accuracy of the simulation of the velocity components. This paper is focuses on calibrating CCHE-2D simulation model in order to be able to predict accurately the 2-D transverse velocity distribution and bed morphology along the River Nile. Measured field velocity data collected by Nile Research Institute were used in the calibration of the model. The calibrated and verified simulation model (CCHE-2D) was used to predict the velocity distribution at four sections along the Nile at certain locations. The selected sections are located within a length of 1.53 km. A drinking water pump station is located at the middle of the selected reach. The selected reach covers locations from km 7.78 to km 9.31 downstream El-Roda gauging stations (km 934.785 to the km 936.31 from Aswan dam). Statistical measures indicated that the model results are accurate enough for all practical purposes and hence the model could be used to predict the morphological changes in the River Nile

Comprehensive understanding of the active thickness in solid oxide fuel cell anodes using experimental, numerical and semi-analytical approach

This paper reports the evaluation of the electrochemically active region in solid oxide fuel cell (SOFC) electrodes through experimental, numerical and semi-analytical approaches. In the experiment, anodes with several different thicknesses were fabricated and their performance was measured to find its dependence on the anode thickness, microstructure and operating conditions. The three-dimensional (3D) microstructure of the anodes was imaged using focused ion beam scanning electron microscopy (FIB-SEM) and the microstructural parameters were quantified. One-dimensional (1D) and 3D numerical simulations based on the actual 3D microstructures were carried out to investigate the active thickness in the anodes. The validity of the numerical models was confirmed by comparing the results with the experiment. The active thickness, i.e., the electrochemically active region within the anode, is discussed using the verified simulation models to find its dependence on various conditions. The active thickness was found to depend on the microstructure and the operating conditions. We then attempted to find a simple expression for the active thickness useful for practical applications with semi-analytical discussion. The developed descriptions expressed the quantitative dependence of the active thickness on the effective ionic conductivity, exchange current density and area-specific current density.

Multilocation Corn Stover Harvest Effects on Crop Yields and Nutrient Removal

Corn (Zea mays L.) stover was identified as an important feedstock for cellulosic bioenergy production because of the extensive area upon which the crop is already grown. This report summarizes 239 site-years of field research examining effects of zero, moderate, and high stover removal rates at 36 sites in seven different states. Grain and stover yields from all sites as well as N, P, and K removal from 28 sites are summarized for nine longitude and six latitude bands, two tillage practices (conventional vs no tillage), two stover-harvest methods (machine vs calculated), and two crop rotations {continuous corn (maize) vs corn/soybean [Glycine max (L.) Merr.]}. Mean grain yields ranged from 5.0 to 12.0 Mg ha−1 (80 to 192 bu ac−1). Harvesting an average of 3.9 or 7.2 Mg ha−1 (1.7 or 3.2 tons ac−1) of the corn stover resulted in a slight increase in grain yield at 57 and 51 % of the sites, respectively. Average no-till grain yields were significantly lower than with conventional tillage when stover was not harvested, but not when it was collected. Plant samples collected between physiological maturity and combine harvest showed that compared to not harvesting stover, N, P, and K removal was increased by 24, 2.7, and 31 kg ha−1, respectively, with moderate (3.9 Mg ha−1) harvest and by 47, 5.5, and 62 kg ha−1, respectively, with high (7.2 Mg ha−1) removal. This data will be useful for verifying simulation models and available corn stover feedstock projections, but is too variable for planning site-specific stover harvest.

Fuel Cycle System Analysis Implications of Sodium-Cooled Metal-Fueled Fast Reactor Transuranic Conversion Ratio

If advanced fuel cycles are to include a large number of fast reactors (FRs), what should be the transuranic (TRU) conversion ratio (CR)? The nuclear energy era started with the assumption that they should be breeder reactors (CR > 1), but the full range of possible CRs eventually received attention. For example, during the recent U.S. Global Nuclear Energy Partnership program, the proposal was burner reactors (CR < 1). Yet, more recently, Massachusetts Institute of Technology’s “Future of the Nuclear Fuel Cycle” proposed CR [approximately] 1. Meanwhile, the French company EDF remains focused on breeders. At least one of the reasons for the differences of approach is different fuel cycle objectives. To clarify matters, this paper analyzes the impact of TRU CR on many parameters relevant to fuel cycle systems and therefore spans a broad range of topic areas.The analyses are based on a FR physics parameter scan of TRU CR from 0 to [approximately]1.8 in a sodium-cooled metal-fueled FR (SMFR), in which the fuel from uranium-oxide-fueled light water reactors (LWRs) is recycled directly to FRs and FRs displace LWRs in the fleet. In this instance, the FRs are sodium cooled and metal fueled. Generally, it is assumed that all TRU elements are recycled, which maximizes uranium ore utilization for a given TRU CR and waste radiotoxicity reduction and is consistent with the assumption of used metal fuel separated by electrochemical means. In these analyses, the fuel burnup was constrained by imposing a neutron fluence limit to fuel cladding to the same constant value. This paper first presents static, time-independent measures of performance for the LWR [right arrow] FR fuel cycle, including mass, heat, gamma emission, radiotoxicity, and the two figures of merit for materials for weapon attractiveness developed by C. Bathke et al.No new fuel cycle will achieve a static equilibrium in the foreseeable future. Therefore, additional analyses are shown with dynamic, time-dependent measures of performance including uranium usage, TRU inventory, and radiotoxicity to evaluate the complex impacts of transition from the current uranium-fueled LWR system, and other more realistic impacts that may not be intuited from the time-independent steady-state conditions of the end-state fuel cycle. These analyses were performed using the Verifiable Fuel Cycle Simulation Model VISION.Compared with static calculations, dynamic results paint a different picture of option space and the urgency of starting a FR fleet. For example, in a static analysis, there is a sharp increase in uranium utilization as CR exceeds 1.0 (burner versus breeder). However, in dynamic analyses that examine uranium use over the next 1 to 2 centuries, behavior as CR crosses the 1.0 threshold is smooth, and other parameters such as the time required outside of reactors to recycle fuel become important.Overall, we find that there is no unambiguously superior value of TRU CR; preferences depend on the relative importance of different fuel cycle system objectives.

Parallel Model Checking for Discrete Event Simulation Models Based on Event Graphs

PDF HTML阅读 XML下载 导出引用 引用提醒 基于事件图的离散事件仿真模型并行检验方法 DOI: 10.3724/SP.J.1001.2012.04047 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金(61170048); 国家教育部博士点基金(200899980004) Parallel Model Checking for Discrete Event Simulation Models Based on Event Graphs Author: Affiliation: Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:非形式化仿真模型验证方法易受主观因素的影响且具有不完备性,而传统的形式化模型检验方法由于受到状态空间爆炸问题的影响,很难处理大规模的仿真模型.并行模型检验方法以其完备性、高效性已经在工业界中得到了成功的应用,但是由于涉及到形式化规约、逻辑学以及并行计算等多项技术,应用难度较大.针对上述问题,提出了基于事件图的离散事件仿真模型并行检验方法.该方法首先对事件图在模型同步方面进行了扩展,给出了扩展事件图的形式化定义、语法及语义;然后将扩展事件图模型转换到分布并行验证环境的DVE 模型,成功地将并行模型检验方法应用于仿真模型验证领域.该方法使得仿真人员无须学习新的形式化验证语言就能采用并行模型检验方法对仿真模型进行形式化验证,可降低模型并行验证的难度,从而有效提高模型验证的效率和完备性.实验结果表明了该方法的有效性,有利于扩展并行模型检验方法在仿真领域中的应用. Abstract:Informal verification methods for simulation models are vulnerable to subjective ingredients. The traditional model checking method has difficulty dealing with large-scale simulation models because of the state space explosion. The parallel model checking (PMC) method has been accepted and successfully implemented in industrial tools because of the completeness and high efficiency. Unfortunately, it is hard to use as it involves several difficulties, such as formal specifications, logics, and parallel computing. To solve the above problems, a parallel model checking method for simulation models based on event graphs is proposed in this paper. This method extends event graphs in synchronization and defines the syntax and semantics of the extended event graphs. It transforms the extended event graphs to distributed and parallel verification environment (DVE) model, and PMC method is successfully applied to simulation model verification filed. With this method, simulation participators can verify simulation models with PMC method without learning new formal modeling languages. The efficiency and completeness of simulation model verification are improved. The experimental results show the validity of this method, and the method can improve the application of PMC method in simulation field. 参考文献 相似文献 引证文献

Performance Analysis of Clos-Network Packet Switch with Virtual Output Queues

A three-stage Clos-network switch with input queues is attractive for practical implementation of a large-capacity packet switch. A scheme that configures the first, second, and third stages in that sequence by performing iterative matchings based on random selections is called the staged random scheduling scheme. Despite the usefulness of such a switch, the literature provides no analytical formula that can accurately calculate its throughput. This paper develops a formula to calculate the throughput analysis of the staged random scheduling scheme for one and multiple iterations used in an input-queued Clos-network switch under uniform traffic. This formula can be used to verify simulation models for very large switches. The introduced derivation considers the processes of the selection scheme at each stage of the switch. The derived formula is used in numerical evaluations to show the throughput of large switch sizes. The results show that the staged random scheduling scheme with multiple iterations for a Clos-network switch with VOQs without internal expansion approaches 100% throughput under uniform traffic. Furthermore, evaluations of the derived formulas are used in a practical application to estimate the number of iterations required to achieve 99% throughput for a given switch size. In addition, the staged random scheduling scheme in an input-queued Clos-network switch is modeled and simulated to compare throughput estimations to those obtained with the derived formulas. The simulation results support the correctness of the derived formulas.

Effect of laser energy on the deformation behavior in microscale laser bulge forming

Microscale laser bulge forming is a high strain rate microforming method using high-amplitude shock wave pressure induced by pulsed laser irradiation. The process can serve as a rapidly established and high precision technique to impress microfeatures on thin sheet metals and holds promise of manufacturing complex miniaturized devices. The present paper investigated the forming process using both numerical and experimental methods. The effect of laser energy on microformability of pure copper was discussed in detail. A 3D measuring laser microscope was adopted to measure deformed regions under different laser energy levels. The deformation measurements showed that the experimental and numerical results were in good agreement. With the verified simulation model, the residual stress distribution at different laser energy was predicted and analyzed. The springback was found as a key factor to determine the distribution and magnitude of the compressive residual stress. In addition, the absorbent coating and the surface morphology of the formed samples were observed through the scanning electron microscope. The observation confirmed that the shock forming process was non-thermal attributed to the protection of the absorbent coating.

Verification of Vibration Power Generator Model for Prediction of Harvested Power

This paper deals with modeling of a vibrational power generator and verification of a complex generator model for prediction of harvested power. The power generator is an electromagnetic device, which uses ambient energy of mechanical vibrations for generating useful electrical energy. This energy harvesting device constitutes a complex mechatronic system consisting of a resonance mechanism, electromechanical converter, power management (electronics and energy storage) and a powered device. When this system is placed in environment with sufficient mechanical vibration, the generator harvests energy and it can be used as autonomous source of electrical energy for powering of wireless sensors in remote applications. The verified simulation model of this device can provide a prediction of possible harvested power without any physical position of this device in a vibratory environment (only acceleration measurement is used as input).