In-process detection of fastener grip length using embedded mobile wireless sensor network-based pull-type tools Online publication date: Thu, 09-Apr-2009
by Reghu Anguswamy, Can Saygin, Jagannathan Sarangapani
International Journal of Manufacturing Research (IJMR), Vol. 4, No. 2, 2009
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.
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