Machinery Prognostics & Condition Monitoring Technical Group
The mission of the Machinery Prognostics and Condition Monitoring Technical Group is to develop new methodologies and technologies for accurate and reliable prediction of remaining useful life in machinery. These predictions will be used to optimize machinery maintenance expenditures and system safety. Sensors, reasoning techniques, advanced materials, and failure modeling techniques are being investigated.
Research Topics:
- Nonlinear dynamics in water and mechanical failure.
- Approximate reasoning and data fusion.
- Bearing failure simulation and modeling.
- Improved sensors for failure precursor detection.
- Advanced materials for failure reporting.
- Modeling to relate failure mechanisms to observables.
- Gear system dynamic failure modeling.
- Active interrogation techniques for fault detection.
- Signal processing techniques for failure precursor detection and classification.
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Group Leader: |
Karl Reichard |
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Office: |
229 Applied Research Bldg, |
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Phone: |
(814) 863-7681 |
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Fax: |
(814) 863-0673 |
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E-Mail: |
kmr5@only.arl.psu.edu |