JOURNAL ARTICLE

Fault Diagnosis of Gearbox Based on Information Fusion Technique

Hao TianXiao Yong KangJun Nuo ZhangLuo Li

Year: 2014 Journal:   Applied Mechanics and Materials Vol: 543-547 Pages: 1083-1086   Publisher: Trans Tech Publications

Abstract

At present, some elementary problems need to be solved when apply information fusion technique to gearbox fault diagnosis system. Firstly, it is exceedingly necessary to present the precise definition, model and architecture for gearbox, even for mechanical equipment fault diagnosis application, since current definitions, models and architectures about information fusion all refer to target identification, image processing and automatic command system. Secondly, it is also important that investigate the information pre-processing for gearbox fault diagnosis, viz. how to associate data in fault diagnosis application, which is very different with military application. Based on it, the fusion demands can be brought forward in terms of different information, e.g. through fusion to get feature parameter or enhance the information quantity---to get respective fusion method ultimately. Finally, investigate how to assess properly the performance of gearbox fault diagnosis system based on information fusion, including assessment of performance of the chosen feature parameters. In this paper we investigate and discuss preliminarily these three problems.

Keywords:
Fault (geology) Information fusion Feature (linguistics) Sensor fusion Identification (biology) Fusion Data mining Computer science Engineering Artificial intelligence Pattern recognition (psychology) Control engineering Reliability engineering

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Topics

Advanced Measurement and Detection Methods
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Algorithms and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering

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