Fast fault diagnosis for industrial processes applied to the reliable operation of robotic systems
作者:
A. POULIEZOS,
G. S. STAVRAKAKIS,
期刊:
International Journal of Systems Science
(Taylor Available online 1989)
卷期:
Volume 20,
issue 7
页码: 1233-1257
ISSN:0020-7721
年代: 1989
DOI:10.1080/00207728908910209
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Fault detection, identification and monitoring play a primary role in systems engineering. This also holds for advanced processes, such as robotic systems, with highest demands on reliability and safety. A method is presented for fast fault detection and location, due to the data deweighting in the identification procedure of the monitored process parameters and the iterative on-line calculation of the statistics of the fault detection scheme. This method has many advantages for microcomputer applications and guarantees a very early process fault detection. Application of the method to the fast fault detection of the de motor actuators of a robotic system is described.
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