Equipment Maintenance Personnel Research Articles

A Method for Determining the Requirements of Electronic Equipment Maintenance Personnel Based on FAHP and Queuing Theory

A Method for Determining the Requirements of Electronic Equipment Maintenance Personnel Based on FAHP and Queuing Theory

A deep learning based health index construction method with contrastive learning

Health index (HI) can help equipment maintenance personnel better understand the health status of equipment. However, how to construct a HI generation model with robust predictive performance and strong interference-resistant ability is still a pressing problem to be solved. This paper presents a new HI construction method that combines unsupervised learning with contrastive learning. In the proposed method, a multi-granularity contrastive learning module is designed to extract in-depth feature from the data. This module operates at both the instance and subsequence levels, ensuring comprehensive feature extraction, and its introduction enhances the interference resistance of the HI generation model. Furthermore, this approach exclusively utilizes the monotonicity of the HI to design the target loss function, ensuring that the model maintains excellent predictive performance across various scenarios. To address the issues that may arise when constructing an unsupervised HI generation model solely based on monotonicity, such as unclear trends and periodic monotonicity, this paper innovatively introduces a localization loss function to tackle these problems. The effectiveness of the proposed HI generation method are evaluated by assessing the performance of the generated HI in remaining useful life (RUL) prediction. The experimental results indicate that this method exhibits robust predictive performance across various scenarios.

A Survey of Occupational Inhalation Exposures to Propylene Oxide during Production and Use Operations in support of REACH registration/Erhebung über die berufsbedingte Inhalationsexposition gegenüber Propylenoxid bei Produktions- und Verwendungsvorgängen zur Unterstützung der REACH-Registrierung

As an adjunct to the chemical safety assessments mandated under the REACH legislation (REACH: Registration, Evaluation, Authorisation of Chemicals) a measurement survey was conducted to collect and document personal exposures associated with the production and downstream use of propylene oxide. Using existing company in-house exposure monitoring capability short-term and long-term levels were obtained for employees from seven European production facilities which fell into one of six exposure groups: production operator, intermediate operator, product sampling, shipping (loading of train, truck, and ships or barges), equipment maintenance, and laboratory analysis. A total of approximately 200 personal exposure samples were collected over a period lasting from April 2013 to July 2014. The measurements were supplemented with approximately 50 archival measurements collected over a ten-year period from 1997 to 2007. The samples of the exposure values were analysed in a descriptive way. Exclusion criteria for sample quality were applied and absolute numerical values replaced left censored non-quantified measurements. The limits of quantification ranged between 0.02 mg/m3 and 23.0 mg/m3. Upper bounds of 95%-intervals for the mean values of the samples ranged from 0.20 mg/m3 to 1.96 mg/m3. Mean values were not calculated for the samples of the product sampling and equipment maintenance personnel since all measurements were below the respective limits of quantification. A majority of the amassed short-term samples were collected with shipping personnel who displayed a high degree of exposure variability with concentrations ranging as high as 168.3 mg/m3. A limited number of short-term samples were also collected in other exposure groups such as product sampling and laboratory analysis where the levels were below the respective limits of quantification. The exposure survey results provide a reasonable basis for use in chemical registration under REACH.

Maintenance Personnel Optimization Model of Vehicle Equipment Based on Support Task

Vehicle equipment maintenance support tasks have problems such as low maintenance efficiency and unreasonable allocation of maintenance personnel. In order to further strengthen the theoretical research of vehicle equipment maintenance support, an optimization model of vehicle equipment maintenance personnel based on support task is proposed in this paper. Firstly, the maintenance workload model of vehicle equipment is constructed by analyzing the three task sources of vehicle equipment: scheduled maintenance, natural random failure, and combat damage. Then, considering the technical professional level, maintenance efficiency, and other factors of maintenance personnel, two optimization models of maintenance personnel are constructed. In view of the situation where there are enough human resources, the prediction model of the number of personnel with the minimum total number as the goal is constructed to achieve the purpose of saving human resources. Using MATLAB mixed integer nonlinear programming problem (MINP) toolbox to solve the prediction model of the number of personnel, in view of the shortage of maintenance personnel, a maintenance personnel allocation model aiming at minimizing maintenance time is constructed to maximize maintenance efficiency. In order to solve the model, the fruit fly optimization algorithm (FOA) is improved, and the group cooperation is used to update the fruit fly position. The new algorithm not only retains the essential advantages of the FOA but also solves the problem that the algorithm is easy to fall into local extreme value and improves the global optimization ability of the algorithm. Finally, two example simulations verify the effectiveness of the optimization method in this paper and provide a certain theoretical basis for maintenance personnel to optimize decision-making.

Five in One Risk Management and Control to Improve Enterprise Safety Management Level

The operation risk management and control system is to discuss the daily operation of petrochemical plant by five professionals, including Process Engineer, Safety Engineer, Operator Electrical Instrument Engineer and Equipment maintenance personnel, to arrange weekly plan, identify risks and discuss preventive measures. In this way, the daily total amount of work can be controlled, the risk can be controlled, the efficiency is higher, and the safety in the petrochemical production process can be guaranteed.

Research on the Training Program and Develop the Curriculum System for HVDC Equipment Maintainer

It has a complicated system wiring, a large variety of equipment, and high operation and maintenance technology requirements in the high-voltage direct current (HVDC) converter station. So the higher requirements on the technical skills will be put forward for the operation and maintenance personnel working in the (HVDC) converter station. It analyzes the training needs of HVDC equipment maintenance personnel systematically, researches on the training program deeply, and designs the course contents carefully in this paper. The results will play a positive role in the cultivation of HVDC technical staff.

A Multichannel LSTM-CNN Method for Fault Diagnosis of Chemical Process

The identification and classification of faults in chemical processes can provide decision basis for equipment maintenance personnel to ensure the safe operation of the production process. In this paper, we combine long short-term memory neural network (LSTM) with convolutional neural network (CNN) and propose a new fault diagnosis method based on multichannel LSTM-CNN (MCLSTM-CNN). The primary methodology here includes three aspects. In the initial state, the fault data are input into the LSTM to obtain the output of the hidden layer, which stores the relevant temporal and spatial domain information. Due to the diversity of data features, convolutional kernels with different sizes are utilized to form multiple channels to extract the output characteristics of the hidden layer simultaneously. Finally, the fault data are classified by fully connected layers. The Tennessee Eastman (TE) chemical process is used for experimental analysis, and the MCLSTM-CNN model is compared with the LSTM-CNN, LSTM, CNN, RF and KPCA + SVM models. The experimental results show that the MCLSTM-CNN model has higher diagnostic accuracy, and the fault classification results are superior to other models.

Evaluation of Biomedical Equipment Maintenance Management in a Tertiary Care Teaching Hospital

Introduction: Medical equipments play a crucial role in the prevention, diagnosis and treatment of illness and disease, as well as in patient rehabilitation. Its proper functioning is important for quality healthcare delivery to patients. The evaluation of medical equipment offers management, the opportunity, to appraise the overall maintenance program and identify areas for improvement for increased efficiency and effective utilization of available resources.Method: Retro-prospective mix method study was conducted with an aim to set, capture and analyze key performance indicators for Biomedical equipment available in a tertiary care teaching hospital. These indicators were used to evaluate performance of the Biomedical equipment maintenance department, Further, the indicators were benchmarked to improve performance of the equipment.Conclusion: Delinquent work orders was identified as the most important indicator which directly impacts the organizational efficiency. By employing benchmarking activity, the vendors with frequent delinquent work orders can be identified and procurement from such vendors can be avoided in the future. A simplified operating manual with common troubleshooting problems must be made available to user departments to avoid raising of trivial complaints. This ensures efficient utilization of biomedical equipment maintenance personnel’s time in addressing complex issues which requires expertise. Such operating manuals can also be used to train junior staff and students. This is particularly helpful to the night duty staff where the engineer is available only on call. A centralized supply of lifesaving equipment such as ventilators, infusion pumps, cardiac monitors should be made available in critical care areas to ensure that there is no hindrance to patient care due to shortage of equipment.

Virtual Fault Diagnosis System of Equipment Based on VIRTOOLS

This paper studies the equipment virtual fault diagnosis system according to the teaching practice of equipment maintenance. Aiming at the common faults of some equipment, a three-dimensional model of a type of equipment is built by using SolidWorks. The system uses VIRTOOLS to realize the operation of virtual assembly. It also establishes the data database and the examination database based on Access, and develops the system software platform with C language. The final results show that the system can greatly improve the actual maintenance capabilities of equipment maintenance personnel, and can provide the necessary supporting role for the actual equipment maintenance.

基于虚拟串口的PLC设备远程监控软件的程序传输方法

为了方便PLC设备维护人员在设备出现故障时进行问题排查和程序调试，本文设计了基于虚拟串口的PLC设备远程监控的程序传输方法，实现了程序的高效稳定传输。本文使用Microsoft.NET的MFC开发平台编程实现，为用户提供友好的操作界面，并充分利用MFC的多线程技术和串口控件，搭建了基于虚拟串口的串口通信和基于TCP/IP协议的网络通讯的传输结构。本文给出了两种通讯方式下通讯协议的设计和通讯接口的具体实现，并对程序传输进行了测试。 In order to facilitate trouble shooting and program debugging for the PLC equipment maintenance personnel when the equipments malfunction, the program transmission method of PLC equipments’ remote monitoring software based on virtual serial port is designed. And this method realizes the efficient and stable transmission of the program. This software is developed based on the MFC (Microsoft Foundation Classes) platform in Microsoft.NET, which provides users a friendly operation interface. This software makes full use of multi-thread technique and serial communication control, building the transmission structure which is made of serial communication based on virtual serial port and network communication based on the TCP/IP protocol. The design of communication protocols and the concrete realization of communication interface are given with program transmission tested in this paper.

Research on the Key Issues of the Civil Communication Resource Management for Urban Rail Transit

The civil communication system in urban rail transit network is the one which can provide the passenger value-added service. It can meet underground needs of information service for passengers, and be the alternate means of communication for drivers, equipment maintenance personnel, the stations duty officers, and so on. When the wireless systems for rail transit comes malfunction, the civil communication system can provides smooth information channel for rail transit participants to ensure the safety of personnel and rail transit dispatching.

Gray-Markov GM (1, 1) Prediction Model Optimal Allocation of Equipment Maintenance Personnel Based on Difference Method

Based on the situation that the statistic of the missile facilities stability was small, and the conventional big example preview method was no longer of use. So, this article used the gray GM (1, 1) model to preview a facilitys stability .The gray GM (1, 1) model doesnt need a large number of example statistics, and it is also accurate, so this model solved the problem in the analyze and preview of the stability of the missiles electronic facility system, and it has possibility to imply to engineering use.

The Recombination of Equipment Maintenance Support Personnel Based on the Capability and Mission Model

For the aim of adapting to the requirement of information warfare, increasing the integrative support capability and improving agility and reliability of the equipment maintenance, this paper puts forward an equipment maintenance personnel recombination model. Firstly, the paper found out the requirements to the maintenance personnel in future battle. Secondly, it analyses the problems chiefly exist in our army maintenance support personnel. Thirdly, according to the mission needs, an equipment maintenance personnel recombination model based on capability and mission is built up. The maintenance personnel are recombined to the army-civilian equipment maintenance system. It can reduce the steps of the information flow and the possibility of information distortion, optimize the resource deployment and improve the agility, harmonious developing. It can increase the integration support capability of equipment maintenance support force and unitary high efficiency. Finally, a series of suggestions about recombination personnel training are provided.