Fault diagnosis
Research on the Fault Diagnosis System of Armed Vehicles
The Engine is an extremely important part of the Armed vehicles,research on its fault diagnosis technology has gotten more and more attention.As acoustical diagnosis is a non-contact method,it also draws more attention because of its easy operation.In this paper,the principle of several common failure and their characteristics of acoustic signal about the engine of a [...]
Study on Fault Diagnosis for Fuel Cell Engine
As the issues of energy and environment become more and more serious,fuel cell electric vehicle(FCEV) is viewed as an important area all over the world.Fuel cell egine(FCE) is one of the most important component of a FCEV,and performance,reliability,life span and adaptability to environment of the FCE will affect FCEV’s application prospect directly.Therefore,the research aspects that [...]
Research of Diagnosis Method for Vehicle Steer-by-wire System
Since Steer-by-wire(SBW) system eliminates the mechanical connection between the steering wheel and the front wheels, it fully overcomes the disadvantages of conventional steering system and provides the potential benefits of coordinative and fully integrated vehicle dynamic control. However, SBW includes many electrical components; SBW is less dependable than mechanical system. Fault diagnosis is essential to [...]
Research on Fault Diagnosis System of the Elevator Based on Fuzzy Neural Network
The market demand of elevators keeps increase as the rapidly development of modern cities,elevators have brought unprecedented convenient for people’s daily life. People require the elevator control system to be of higher safety and reliability,and it is especially important to find and eliminate elevator controller’s fault.As the computerized and high-performance of the elevator control system,the [...]
Study of Diesel Engine Fault Diagnosis Technique Based on Genetic Neural Network
Based on the analysis of domestic and foreign research about intelligent diagnosis technology and fault diagnosis methods of diesel engine,a method of diesel engine fault diagnosis based on genetic neural network is given in this paper.The fault diagnosis of fuel system is deeply studied.Firstly,the research status of fault diagnosis technology and contents of the topic [...]
Research on Power Transformer Fault Prediction Based on Genetic Algorithm and Grey Theory
1. IntroductionElectric power system is developing for EHV, large power network, high capacity, automation with the rapid development of power industry and national economy in China. Power transformer is one of the key equipments of power system. The quality of its running performance will directly impact on the safe operation of power system. Once the [...]
Research on Power Transformer Fault Prediction Based on Genetic Algorithm and Grey Theory
1. IntroductionElectric power system is developing for EHV, large power network, high capacity, automation with the rapid development of power industry and national economy in China. Power transformer is one of the key equipments of power system. The quality of its running performance will directly impact on the safe operation of power system. Once the [...]
Study of Roots Blower Rotor Dynamics Characteristics and Fault Diagnosis
Roots blowers are widely used in various industry fields,which have the merits of a simple structure,easy operating,no pollution of the medium,little air mass change after a pressure change,etc.Due to varying installation conditions and running states,a roots blower could exhibit many defects,such as rotor unbalance,un-centering,bearings breaking,cracking, Rub,etc,which would cause abnormal vibration and noise,reduce work efficiency,and even [...]
Study on Fault Diagnosis of Motor Based on DSP and Neural Network
Asynchronous Motors is used as the number of various types of electrical and mechanical equipment in the largest, most widely used class of electrical equipment. Its normal work of the manufacturing process to ensure the safety, efficiency, agility, quality and low-power operation have great significance. If the Asynchronous Motors is shutten down due to failure [...]
Research on Fault Diagnosis Methods for Rotating Machinery Based on Non-Stationary Analysis and Neural Network
To meet requirements of the non-stationary signal processing of modern rotating machinery, improve the accuracy rate of fault diagnosis of complex signal, and get intuitive results of fault diagnosis, this thesis proposes to apply non-stationary signal analysis and neural network in fault diagnosis, which mainly including three ways: Short-Time Fourier Transform, Wigner Distribution and Wavelet [...]