Skip to Main Content
ASME Press Select Proceedings

International Conference on Computer and Computer Intelligence (ICCCI 2011)

By
Yi Xie
Yi Xie
Search for other works by this author on:
ISBN:
9780791859926
No. of Pages:
740
Publisher:
ASME Press
Publication date:
2011

Condition monitoring and fault diagnosis of mechanical equipment is to guarantee the normal operation and reliable work, is an important link of the universal attention. This article explore a strategy combining theory and experimental research, built a set of theory and method based on motion modality and the information entropy in fault diagnosis of automatic mechanism. The purpose is to solve the following problems, the weak fault signals in the short-time and transient vibration response signals are easy to be drowned in practical application, effective and sensitive characteristic parameters are difficult to be extracted, accurate positioning of fault and real-time diagnosis are difficult to be realized. In the paper using the motion modality and information entropy to put forward new ideas and methods for the short-time and transient vibration signals analysis processing and feature extraction, and is applied in artillery automatic mechanism field, which expands the research scope of mechanical fault diagnosis discipline.

This content is only available via PDF.
Close Modal
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close Modal
Close Modal