Fault Diagnosis Technology Research Of The Electrical System Of SS7E Electric Locomotives

The locomotive being a means of conveyance, its running state affects directly the security and comfort of the train. The electrical system is the very important composing part of the electric locomotive. Only working well of the electrical system can assures the locomotive in good station. When one component of the locomotive goes wrong, it is required to make certain the error place or error component quickly, and to separate the error component automatically or to tell the drivers how to deal with. So it can assure the train running safely and punctually, and suffices the basic need of the masses. The SS7E locomotive has a few of diagnosis functions presently, so it has very important theory significance and practical significance for fault diagnosis technology and research of the electrical system of SS7E electric locomotives. The main researches are as follows:(1) The paper summarizes the international and domestic electric locomotive and their fault diagnosis technology. It analyses mostly the high-speed trains and their fault diagnosis technology in Japan, Germany, France, America and Canada. It also expounds the development of the fault diagnosis technology of the electric locomotive in China, and illustrates the significance of electric locomotive fault diagnosis.(2) The paper analyses detailedly the main part of electrical system: the main circuit, assistant circuit and control circuit. The mathematical model of each component of the SS7E electric locomotive main circuit is set up in this paper.(3) By a detailed principle study of the SS7E locomotive control circuit, it analyses the main components of the electrical system fault mechanism of the SS7E electric locomotive, and deduces the electrical system fault set of the SS7E electric locomotive. On this basis, it builds the full set of digital check points and the full set of analog check points of the SS7E electric locomotive electrical fault, as well as the full set of the middle points which is used in the process of fault diagnosis. It sets up the hardware system of the SS7E locomotive fault detection.(4) The paper studies the form of knowledge representation in the SS7E locomotive fault diagnosis system, and deduces and constructs the rule library of the SS7E locomotive fault diagnosis system. It puts forward the SS7E locomotive electrical system fault tree, and constructs the reasoning mechanism. By improving the matching algorithm, it achieves the expert reasoning and diagnosis of the SS7E locomotive electrical system.(5) The paper dissertates the wavelet transform theory in detail, and studies the converter fault detection method, and establishes the converter simulation model. It puts forward an energy eigenvector extraction method from the output voltage wave of the SS7E locomotive converter. For discrete data, the paper puts forward a practical calculation method to achieve the practical application of wavelet analysis theory in the SS7E locomotive.(6) The paper studies the neural network fault diagnosis technology in detail, and puts forward a kind of fault diagnosis method of the SS7E locomotive converter based on the neural network. It researches and deduces the SS7E electric locomotive converter neural network model, and gives the SS7E locomotive converter fault diagnosis neural network training figure. By the simulation experiment, the validity of the converter fault diagnose method, which use the wavelet transform and the neural network technology, is proved.(7) From both hardware and software aspect, the paper puts forward the practical application method of the SS7E electric locomotive electrical fault diagnosis system. For the fault diagnosis of the SS7E locomotive converter, the paper puts forward the method, which realizes individually the training and application of the neural network, in order to apply the trained network to real-time diagnosis on the locomotive. So it solves the conflict between the calculation quantity and the real-time ability of the neural network fault diagnosis.Finally, the paper points out some problems of the SS7E electric locomotive electrical fault diagnosis system, and explores the development of electric locomotive fault diagnosis technology in our country.