Fault detection and prognosis of assembly locating systems using piezoelectric transducers |
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Authors: | Jeremy L Rickli Jaime A Camelio Jason T Dreyer Sudhakar M Pandit |
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Affiliation: | 1.Department of Mechanical Engineering-Engineering Mechanics,Michigan Technological University,Houghton,USA;2.Grado Dept. of Industrial and Systems Engineering,Virginia Polytechnic Institute and State University,Blacksburg,USA |
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Abstract: | Fixture faults have been identified as a principal root cause of defective products in assembly lines; however, there exists
a lack of fast and accurate monitoring tools to detect fixture fault damage. Locating fixture damage causes a decrease in
product quality and production throughput due to the extensive work required to detect and diagnosis a faulty fixture. In
this paper, a unique algorithm is proposed for fixture fault monitoring based on the use of autoregressive models and previously
developed piezoelectric impedance fixture sensors. The monitoring method allows for the detection of changes within a system
without the need for healthy references. The new method also has the capability to quantify deterioration with respect to
a calibrated value. Deterioration prognosis can then be facilitated for structural integrity predictions and maintenance purposes
based on the quantified deterioration and forecasting algorithms. The proposed robust methodology is proven to be effective
on an experimental setup for monitoring damage in locating fixtures. Fixture wear and failure are successfully detected by
the methodology, and fixture structural integrity prognosis is initiated. |
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Keywords: | |
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