Abstract
By analyzing multi-sensor information fusion system and hall for workshop of meta-synthetic engineering (HWME) essentially, a universal information fusion system of HWME based on multi-sensor is put forward. Analyzing the fault diagnosis framework of complex system based on information fusion technique, together with the research on the general process of information fusion synthesis fault diagnosis, a fault diagnosis system framework of HWME based on information fusion is set up, which is all-purposed and runs through the whole process of synthetic fault diagnosis. By this method, a new approach to multi-sensor information fusion synthesis fault diagnosis has been found.
Highlights
Multi-sensor information fusion technology has been widely applied in the field of fault diagnosis in recent years
The information fusion fault diagnostic method base includes fusion diagnostic method based on random models, mainly including Bayesian inference, evidence theory, recursion operator and so on; fusion diagnostic method based on least squares, mainly including Kalman filtering, optimization theory etc.; intelligent fusion diagnostic method mainly including fuzzy logic, neural network, genetic algorithm, gray system, artificial intelligence, rough set theory, support vector machine, wavelet transform and so on; other new meta-synthesis methods developed like wavelet-neural network, fuzzyneural network, fuzzy-gray system and diagnostic method of integrated neural network, etc
5 Conclusions With the development of computer network technology, multimedia technology, information fusion technology and AI, a rapid progress has been made in the field of hall for workshop of meta-synthetic engineering (HWME) based on complexity science
Summary
Multi-sensor information fusion technology has been widely applied in the field of fault diagnosis in recent years. HWME is an auxiliary tool to solve such problems, which synthesizes the qualitative cognition and information and other knowledge drawn by the scholars by experience through computers and relevant technology, and model, evaluate, modify for many times, and rise to a global quantitative cognition. This process is very complex and needs to repeat many times. 2.3 The correlational research on this subject The author of this paper has dedicated himself to the research on intelligent fault diagnosis area for a long time, especially the research on the theory and method of integrated diagnosis information fusion of charging equipment based on the previous studies of fault diagnosis on charging equipment with the application of multi-resource information fusion
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