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The purpose is to locate the fault of coal mine drainage system quickly and accurately, and then establish a fault diagnosis of the underground drainage fuzzy Petri net system model based on BP optimization algorithm. On the basis of the traditional fuzzy Petri net model, the BP optimization algorithm with momentum factor is added to improve the accuracy of the algorithm, the S-type continuous functions...
The safety problem is an important factor restricting the development of electric vehicles which caused by many kinds of faults in the power battery pack. How to diagnose the multiple faults in the battery pack becomes the focus and difficulty. This paper proposes a multi-fault detection method for battery management systems. Instead of measuring the voltage of individual cells, an interleaved connected...
Aim to the problem of engine fault diagnostic accuracy, research an engine fault diagnosis technologies based on adaptive neuro-fuzzy inference system. The method is proposed that using known input and output data, construct a fuzzy inference system, internal systems adjust the membership function using a least squares method based on hybrid learning algorithm and reverse the spread of the combination...
Problems related to fault detection of turnouts are discussed in this paper, which is important to guarantee the security of a driving train. Motivated by an existing approach for fault detection of turnouts and to deal with its demerits, a hybrid feature extraction method is given, which extracts information in both time and frequency domains, then support vector machine (SVM) is further used to...
This Paper carried out three phase and single phase short circuit tests and verified the security and stability of large scale wind farms integration on Rongcheng power station. Including location and type of short circuit, system operation conditions and measurement of date, summarized the main work between the wind farms short circuit test. Following the ideas of “unit level-wire level-wind farm...
In order to develop a fault diagnosis strategy in tramway environment, multiclass relevance vector machine (mRVM) based fault diagnosis strategy for proton exchange membrane fuel cell (PEMFC) of hybrid tramway is proposed. The method can quickly identify three kinds of fault states, such as the low hydrogen pressure, the low pressure of deionized water humidification pump and the bus communication...
According to the application of cellular automata theory in complex system, a new kind of cellular automata model of grid failure is proposed which starts from basic concept of cellular automata and defines the composition method of cell, cellular rules and neighbors and so on. By simulation of the model, it is able to get the evolution of grid failure and it comprehensively considers of structural...
Train-Ground wireless connection timeout is one of the common faults in Chinese Train Control System Level-3, and it will trigger a full-service brake application on high speed train. The paper presents a fault diagnosis method base on adaptive neuro-fuzzy inference system. First, a partition of universe and granularity for input and output are given. Moreover, a model is built and then trained by...
Most existing fault diagnosis approaches based on Petri net are applied in transmission network, and usually utilize the action information of relay protection and breaker to form the diagnosis model which is not suitable for radial distribution network. In this paper, a novel Petri net model based on fault information of FTUs is proposed. The rapidity and fault tolerance of distribution network fault...
As more and more distributed generations are connected to the grid, the features of micro grid, are no longer the same as conventional grids. A micro-grid fault diagnosis method based on redundant Petri net considering temporal constraints is put forward in this paper. Firstly, a tripartite criterion for fault location is proposed on basis of Wide-area information protection method. Secondly, The...
The fault of power distribution network may lead to customers power failure interruption. To nalyze and evaluate the power failure interruption caused by distribution network fault, this paper establishes a comprehensive evaluation indices set for power distribution network fault power failure. The normal cloud model is considered to be able to overcome the uncertainty, randomness and fuzziness of...
Based on the existing waveform feature recognition method, a method of recognizing transformer magnetizing inrush current by using waveform sinusoidal correlation degree is proposed. According to the difference between the transformer magnetizing inrush current and the internal fault current waveform, that is, the waveform has nature of sine function during normal operation of transformer and the...
Because the fault characteristics are not obvious and the detection is difficult, the high impedance fault is always the difficulty of the distribution network fault identification. According to the actual situation of power grid, the current signal at each measurement point in the line is selected to be a measured one, and the corresponding complex sequence current and zero sequence current are obtained...
The permanent magnet synchronous motor (PMSM) supplied by an inverter plays key roles in the critical application. Therefore, many efforts have been paid to the fault tolerant of the PMSM drive system to ensure the system continue operate in the postfault situation. Fault tolerant include fault detection and fault diagnosis> remedial action combinationing of hardware and software reconfigurations...
Permanent Magnet Synchronous Motor (PMSM) as the key component of the Electric Vehicles (EVs), has numerous advantages over other synchronous motors. Fault diagnosis is essential to guarantee the safety and continuity of the operation for EVs. An undetected fault in the PMS M system may lead to high repair cost, or even catastrophic failure. Among lots of faults in the PMSM, the most serious are short...
In order to study the application of VSC-MTDC in hydropower transmission, make full use of the advantages of VSC-HVDC, established VSC-MTDC hydropower in transportion system model, the analysis of the mathematical model and control strategy. Finally, the three terminal system is simulated by PSCAD, verified the conservation of power system, and analyzes the influence of system of three-phase short...
In this research, the procedure of the transient traveling wave in non-solidly earthed network is analyzed. It shows that at the bus bar the traveling waves of healthy lines are mainly composed of the refracted traveling waves. The refracted are generated from the backward traveling wave in the fault line, then the refracted traveling waves is the main part of the traveling waves in the healthy lines;...
The design of improved fault location system and its experimental test system is presented in this paper. The fault location system is based on traveling waves and contains several innovative algorithms, considering the main influential factors such as the uncertainty of wave speed and the accuracy of transmission line length. Besides, the design of experimental system for testing the location precision...
Efficient condition monitoring and fault diagnosis is an essential task to ensure the generation performance and reliability of photovoltaic (PV) systems. This paper proposes an online algorithm to diagnose faults of PV module based on multi-class support vector machine (M-SVM). The simulation models of the photovoltaic module are implemented and the output power generation characteristics of PV modules...
It has a complicated and variable feature of fault transient traveling wave in cable and overhead line hybrid transmission line. Theoretical analysis and simulation method have been used to study the propagation characteristics of fault transient traveling wave in cable and overhead line hybrid line. The principle of single line traveling wave method for hybrid line is expounded and the influence...
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