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The development of manufacturing engineer for aeroengine demands that the monitoring equipment be able to perform in good status, including vibration signal analysis and fault diagnosis. In order to acquire the decisions in accordance with experiment result, one must have a powerful tool of signal feature extraction for fault pattern recognition, which has significant effect on sampled data processing...
To solve the problem of fault diagnosis for engine, due to the complexity of the equipments and the particularity of the operating environments, generally speaking, there is no one-to-one correspondence between the characteristic parameters and status, so, the methods of diagnosis are very complicated. A novel fault diagnosis method based on empirical mode decomposition (EMD) and wavelet packet BP...
Abstract—To solve the problem of fault diagnosis for engine,due to the complexity of the equipments and the particularity of the operating environments, generally speaking, there is no one-to-one correspondence between the characteristic parameters and status, so, the methods of diagnosis are very complicated. Because the vibration signals of the engine are usually nonlinear and non-stationary signals,...
Several kinds of information generated during the operation process of the engine, generally speaking, there is no one-to-one correspondence between the characteristic parameters and status, whereas, there are often existing many types of faults. After analyze the problem of uncertainty and other issues which the fault diagnosis of engine is faced, in this paper, a new approach for fault diagnosis...
A large number of real-time data and fault history data of turbine could be got through DCS, but the ability of data processing is lagging, a new method of fault diagnosis based on supervision of data-driven for turbine is introduced which is.The method of classification replace given data with points, using the weighted distance in place of Euclidean distance, establishing the iterative algorithm...
The core of turbo-generator fault diagnosis reliability of the multi-level fuzzy comprehensive evaluation is the realization of the conversion from various index memberships to the targets membership. The current methods membership conversions have the problem that there are indicators of membership in the target classification of non-functional redundancy which has also been used to calculate the...
This paper provide a new model of fuzzy membership transformation which is based on fuzzy multi-objective decision-making method, moreover, this model was used to solve the problems of fault diagnosis for turbogenerator units. The methods of data excavation based on Entropy, excavate the information of membership in the classification which is hidden in various index membership, and make a distinction...
Process of burning coal powder in the boiler is a very complex suspension combustion and very unstable. The technology of image processing is an important way to monitor the status of boilers. In this paper, we use image segmentation operation in this area, and the segmentation process is based on an improved hybrid genetic algorithm. In this algorithm, the simulated annealing algorithms and immune...
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