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Erschienen in:
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2020 | OriginalPaper | Buchkapitel

An Intelligent Approach to Detect Actuator Signal Errors Based on Remnant Filter

verfasst von : Naveed Riaz, Syed Irtiza Ali Shah, Faisal Rehman, Syed Omer Gilani, Emad-udin

Erschienen in: Intelligent Technologies and Applications

Verlag: Springer Singapore

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Abstract

Linear electro-mechanical actuators are commonly found in a variety of critical dynamic systems including hazardous robotic applications and various aerospace applications, and are specifically designed on the basis of required operating functional parameters. The performance of electro-mechanical actuators significantly affects the performance of overall system. This paper works to improve the reliability of linear electro-mechanical actuators through analytical redundancy for critical applications. A fault diagnostic algorithm is designed based on dynamic mathematical model and a remnant filter is implemented to detect actuator faults. The remnant filter generates residual signal proportional to the induced fault. Fault detection thresholds are set and decision logic is established to compare residual signal with the lower and upper threshold constants. This designed diagnostic filter is tested experimentally on a fault diagnostic testing setup and results of designed model have been validated.

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Metadaten
Titel
An Intelligent Approach to Detect Actuator Signal Errors Based on Remnant Filter
verfasst von
Naveed Riaz
Syed Irtiza Ali Shah
Faisal Rehman
Syed Omer Gilani
Emad-udin
Copyright-Jahr
2020
Verlag
Springer Singapore
Buch
Intelligent Technologies and Applications

Print ISBN: 978-981-15-5231-1

Electronic ISBN: 978-981-15-5232-8

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-981-15-5232-8_58