Remote Fault Diagnosis System Research Articles

Research on Remote Fault Diagnosis System of Harvester

The structure of combined harvester is complex, and its operation process includes many processes. There is material transportation between each process, so blocking faults often occur. The blockage fault of combined harvester will seriously affect the efficiency of working and harvest quality, so this paper designs a remote diagnosis system of blockage fault of combined harvester. The system can carry out remote monitoring, fault diagnosis and fault alarm for the operation status of the combine, and also provide information management and other functions, which can effectively carry out remote maintenance services. This paper presents an IPSO-BP fault diagnosis model, which is tested by simulation test. The results show that the accuracy of fault prediction by this method is 97.78%. Compared with BP neural network model and PSO-BP model, the accuracy of fault prediction is improved by 5.28% and 13.45%, meeting the fault diagnosis requirements of combined harvester.

Design of AGV Fault Diagnosis Data Acquisition System Based on Cloud Platform

With the development of industrial Internet of Things technology, online fault diagnosis system has become an important part of remote operation and maintenance. Aiming at the problem that the AGV online fault diagnosis system requires higher real-time data, more data volume and faster transmission rate, this paper proposes a cloud platform-based AGV fault diagnosis data acquisition system. The system uses the STM32 single-chip microcomputer to collect the sensor data carried by the AGV, uses the wireless WIFI module to upload the data to the cloud server, and finally saves the data to the cloud database after conversion and verification, which provides a test platform for the Web remote real-time monitoring and online fault diagnosis system. By building an AGV test platform to conduct experiments, the results show that the throughput rate of the system is 90PPS, and the packet loss rate is within 0.1%. The system can meet the data requirements of the online fault diagnosis system, and has good real-time performance and stability.

Remote fault diagnosis system of fully mechanized mining equipment group based on cloud platform

Remote fault diagnosis system of fully mechanized mining equipment group based on cloud platform

Research on Remote Monitoring and Fault Diagnosis System for Coal Mine Electromechanical Equipment

This article proposes an architecture of equipment remote monitoring and fault diagnosis system in view of the increasingly complex business logic and functional requirements of the current coal mine electromechanical equipment remote monitoring and fault diagnosis system. We established a loosely coupled Web service system by abstracting and dividing the business logic and functional requirements of the remote monitoring and fault diagnosis system at different levels and different granularities. At the same time, we use the fault diagnosis model of multi-scale residual network and attention mechanism algorithm to verify the effectiveness of the fault diagnosis system.

Research and implementation of remote mechanical fault diagnosis system based on B/S structure

Enterprise information construction is the most effective way to improve the efficiency of process enterprises. Information integration technology is the key to implementing enterprise information. At the same time, fault diagnosis is also the technical focus of enterprise information. The fault di agnosis technology based on artificial intelligence method and the remote fault diagnosis technology based on B/S mode open up a new field for the research and application of fault diagnosis technology. When a certain mode, the output maximum value F n of the neural network is close to 0, and other values Smaller, both close to 0.1, then the system can be considered F n failure. Practice has proved that if there are enough training samples, the network has a strong diagnostic function to determine the correct rate of 96% or more, indicating that the network training effect is good and meets the diagnostic requirements.

Network topology automatic configuration and remote fault diagnosis system

Network topology automatic configuration and remote fault diagnosis system

Research and Design of the Tobacco Machinery Equipment Remote Fault Diagnosis System Platform

Because of the machine equipment fault has the fuzzy characteristics, based on the ZJ19E monitoring system, proposed one kind based on the Internet of things technology and fuzzy neural network intelligent fault diagnosis of remote control system scheme, established the fault diagnosis model based on fuzzy neural network, realizes the remote diagnosis of the machine equipment fault, improves the traditional control methods greatly improved productivity and automation, and improves the high rate of fault diagnosis of the machine equipment, makes the ZJ19E monitoring system remotable and intelligentialize.

Enabling Remote Fault Diagnosis through Data-driven Grid Computing

Due to the complexity of modern manufacturing and mechanical equipments, it is difficult for equipment users or maintainers to accomplish fault diagnosis independently. In this paper, the development history of fault diagnosis technology is surveyed and investigated, especially remote fault diagnosis system based on Internet in detail. Then, a remote fault diagnosis system based on grid computing technology is proposed to enable collaborative resource sharing and problem solving among multiple equipment suppliers and equipment users by integrating all kinds of diagnostic resources. The architecture of this fault diagnosis system is presented, as well as the Client-Master-Worker computation model and the diagnostic workflow. Finally, a prototype system is implemented using the data-driven middleware-BitDew, in which multiple fault diagnosis grid services are integrated in a unified Web portal. The case study of data-driven fault data analysis is conducted in our prototype which has proved the effectiveness of the system.

Datasocket Technology And Its Application In Equipment Remote Condition Monitoring And Fault Diagnosis

Abstract Virtual Instrument technology, based on DataSocket, is the product combined with computer technology, network communication technology and instrumentation technology. The paper has described some concepts about virtual instrument and LabVIEW. Now concerning the characteristic of equipment in grassroots units that equipment have diverse models and could be widespread distributed, and it could cause increasing difficulty of repair and maintenance about equipment. Thus, the paper proposed Virtual Instrument technology based on DataSocket and its application in equipment remote condition monitoring and fault diagnosis. DataSocket’s properties, structure and working principle were analyzed at the same time. By developing a set of equipment remote status monitoring and fault diagnosis system, the paper has tried to verify that the use of this technology can monitor real-time data and fault diagnosis

The Intelligent Fault Diagnosis Based on Bayesian Network Inference Algorithm Solution

In this thesis a remote intelligent fault diagnosis system based on wireless network is put forward. A method of data-transmission based on wireless network is analyzed and a scheme for intelligent fault diagnosis on the basis of Bayesian network is laid out.This thesis also researches on how to build a fault diagnosis model taking advantage of Bayesian network and how to improve the system's resolving ability and reasoning quality in the process of intelligent fault diagnosis.

Design of Remote Fault Diagnosis System for Automobile Engine Based on Internet

This paper is based on the engine fault diagnosis technology and the network technology, it carries out and uses the Internet network data transmission engine to obtain technical parameters of the engine,fault diagnosis of engine remote.The system can discover the fault of automobile engine and to determine repair method, the fault and exclusion, effectively improve the flexibility and accuracy of fault diagnosis, remote resource sharing.

Study of on-line condition monitoring and fault feature extraction for marine diesel engines based on tribological information

Reliability and safety issues on marine diesel engines have been received and still need considerable attentions. The literature review indicates that a large amount of failures are caused by abnormal wear of the diesel engine components. It is therefore essential to monitor the engine condition using the tribological information. To further promote the oil monitoring technology into industrial application, a new on-line condition monitoring and remote fault diagnosis system for marine diesel engines is proposed in this article. The new system consists of an on-line tribological signal acquisition model in the ship, a remote feature extraction model and a fault diagnosis model in the laboratory center. The third-generation telecommunication (3G/B3G) which is called wireless communication system is adopted to connect the remote ship with laboratory center. Nine wear characteristics are extracted to detect the engine faults. Experimental tests are implemented on a diesel engine in a real ship named “Changjing 2” to evaluate the performance of the proposed fault diagnosis system. The results show that index of particle covered area can be treated as the best feature for marine diesel engines fault detection. The results also reflect that the new system offers satisfactory on-line fault diagnosis ability and is effective for the diesel engine fault diagnosis in practice.

Research on Remote Fault Diagnosis System with Design of the Mine Enterprise Equipment Based on VPN

Remote fault diagnosis in order to realize the mining enterprise equipment requirement, reduce the cost of fault diagnosis system based on VPN remote fault diagnosis system scheme is put forward. VPN technology to establish the enterprise network system, it is reasonable to implement remote connections between corporate headquarters to the mines. It can always track the running status of equipment working in the field of improving customer service response speed. Users can use it to avoid safe hidden trouble, as far as possible to shorten downtime, increase productivity. Field operation shows that our designed system can quickly diagnose the cause of the problem in time to provide a good reference.

Research on Remote Fault Diagnosis Based on Web Services

With the quick development and widespread application of modern information technology, the remote fault diagnosis service has become a reality. The paper focuses on the implementation of remote fault diagnosis system. In order to meet the developments and requirements, the remote fault diagnosis system uses the Web Services technology based on B/S structure, and realizes the distributed and cross-platform remote network communication. In addition, ActiveX control is embedded in web, and this realizes the field data collection, remote audio and video interaction and so on; and this also makes up the insufficiency of B/S structure and lightens the burden of Web server. The system has been greatly improved in the real-time performance of work and security of communication. The system fully meets the requirements of remote fault diagnosis.

The Application of Nonlinear Modeling in the Fault Diagnosis of Fan

The fault diagnosis of the history, present situation and main trend is reviewed. Based on a comparison of the traditional remote monitoring and diagnosis system, provides the architecture of a remote monitoring and diagnosis system. The remote monitoring and fault diagnosis system architecture for two dust removal fan remote monitoring system, the related research and development of the function and fault diagnosis research of the monitoring system, through the remote monitoring and fault diagnosis system can understand two dust removal fan running status, ensure the wind machine running status in the design constraints. It is proposed based on a nonlinear autoregressive moving average model, tested the sunspot data, then the model is applied to fault diagnosis of fan, the experimental results show that, the linear model and the traditional prediction model, has the high prediction accuracy, a new method is proposed for the Metallurgic Fan Machinery Fault diagnosis.

The Research of Data Communication on Wind Power Monitoring and Diagnosis System Based on XML

The wind turbine remote monitoring and fault diagnosis is the key of improving unit efficiency, reducing maintenance costs, and ensuring safe and stable operation of the wind farms. A wide variety of wind farm monitoring systems, non-uniform communication standards, and heterogeneous communication platforms is result in a difficulty of information exchange. In this paper, on the basis of following IEC61400-25 standard, we put forward using XML technology to encapsulate data to avoid the formation of the "information island" in wind farms; By combining with VC++ Socket technology to establish a network communication system, this paper solves the data exchange problem of the wind turbine remote monitoring and fault diagnosis system through achievement of data receiving and dispatching; In the end, we use the waveform curve way to display the XML parsing of data, which is convenient for staff to observe and analyze the data.

Remote Fault Diagnosis System Based on EMD and SVM for Heavy Rolling-Mills

Aiming at the requirements of fault diagnosis for heavy mills, the architecture of remote fault diagnosis system based on EMD and SVM for heavy mills is built. Then the function of 3 main subsystems in the prototype system is introduced: Pattern recognition subsystem is used to evaluate healthy state of equipment with SVM classification algorithm; Fault location subsystem is used to fix fault position in the equipment with the method of Empirical Mode Decomposition and Hilbert-Huang Transform; Remaining life prediction subsystem is used to make a prediction of equipments health trends with SVM regression algorithm. At last, a remote fault diagnosis system based on website is established.

Intelligent Remote Monitoring and Fault Diagnosis of Engineering Machinery System Design

Remote monitoring and fault diagnosis system is an important part of intelligent construction machinery, on the basis of the original remote fault diagnosis system, we will explore and put forward a fleet of intelligent engineering machinery general structure model. Based on this, we will advance the overall design scheme of remote fault diagnosis expert system and solve the problems of engineering machinery remote fault analysis and diagnose the problem

The Remote Monitoring Management and Fault Diagnosis System of the Distributed Open Numerical Control System

This paper presents the design scheme of monitoring management and fault diagnosis of open CNC system based on Internet, the system hardware structure introduces network technology three-tier monitoring mode based on field control layer and process monitoring control layer and remote fault diagnosis layer, the system software design includes CNC system management and monitoring and fault diagnosis. The paper integrates condition monitoring and fault diagnosis and expert system technology into CNC system monitoring and management, and analyzes the requirements of distributed numerical control system, and details description system model of remote monitoring and fault diagnosis system. The practice has proved that the system design of open remote monitoring and fault diagnosis is practicality and feasibility.

Design and Implementation of Online Monitoring and Remote Diagnostic System for CNC Machine Tools

With the development of network technology and fault diagnosis technology, monitoring and diagnosis methods for the CNC machine tools had a great change. In this paper, an online monitoring and remote diagnosis system for CNC machine tools was built. The system was consisted of the multi-channel online acquisition system and remote fault diagnosis system. The online acquisition system achieved a real-time monitoring for CNC machine tools. The remote fault diagnosis system provided the management of devices and assistant for experts to analyze data which was uploaded from acquisition system. The system offered real-time state information of CNC machine tools and reduced downtime of machine effectively.