NDLI: Analytical fault detection and diagnosis (FDD) for pneumatic systems in robotics and manufacturing automation

Content Provider	IEEE Xplore Digital Library
Author	Xiaolin Li Imin Kao
Copyright Year	2005
Description	Author affiliation: Dept. of Mech. Eng., SUNY, Stony Brook, NY, USA (Xiaolin Li; Imin Kao)
Abstract	Pneumatic systems are often found in manufacturing floors for automation and robotic systems. Early and intelligent faults detection and diagnosis (FDD) of such systems can prevent failure of devices that causes shutdown and loss of precious production time and profits. In this paper, we introduce analytical FDD for pneumatic systems. The diagnosis system presented in this paper focuses on the signal-based approach which employs multi-resolution wavelet decomposition of various sensor signals such as pressure, flow rate, etc., to determine leak configuration. Pattern recognition technique and analytical vectorized maps are developed to diagnose an unknown leakage based on the established FDD information using affine mapping. Experimental studies and analysis are presented to illustrate the FDD system.
Starting Page	2517
Ending Page	2522
File Size	520721
Page Count	6
File Format	PDF
ISBN	0780389123
DOI	10.1109/IROS.2005.1545573
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-08-02
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault detection Fault diagnosis Pneumatic systems Robotics and automation Manufacturing automation Intelligent manufacturing systems Intelligent robots Production systems Sensor systems Pattern recognition vectorized map Fault detection and diagnosis FDD pneumatic system wavelet transform
Content Type	Text
Resource Type	Article

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