In-process Detection of Fastener Grip Length Using Embedded Mobile Wireless Sensor Network-based Pull Type Tools
Abstract
A diagnostics and root-cause analysis scheme for real-time monitoring of process quality of pull-type fastening operations is presented. The proposed approach encompasses: integrating a strain gage, an LVDT, a pressure sensor, and a mote on a pull-type pneumatic tool; monitoring process parameters coming from embedded sensors communicated wirelessly and generating process signatures in real-time; detecting anomalies in real-time in the process signatures for quality problems related to the grip length deviation. A feature extraction-based methodology is employed to make decisions for grip length deviations in the form of normal grip, over grip, and under grip.
Recommended Citation
R. Anguswamy et al., "In-process Detection of Fastener Grip Length Using Embedded Mobile Wireless Sensor Network-based Pull Type Tools," International Journal of Manufacturing Research, Inderscience, Jan 2009.
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
WSNs; Automatic Inspection; Communication Systems; Diagnostics; Embedded Sensors; Fastener Grip Length; Feature Extraction; Hand-Held Fastening Tools; Mobile Networks; Process Quality; Pull-Type Fastening; Real-Time Monitoring; Root-Cause Analysis; Wireless Networks; Wireless Sensor Networks; Automation; Fasteners
International Standard Serial Number (ISSN)
1750-0591
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2009 Inderscience, All rights reserved.
Publication Date
01 Jan 2009
