Intelligent Machinery Condition Monitoring Laboratory (IMCML)
PURPOSE: Fault Diagnostics & Prognostics
IMCM research laboratory at the Department of Mechanical and Manufacturing Engineering was established in 1998 with the initial funding support from Office of Naval Research and National Science Foundation. The IMCM research lab has several small to large-scale experimental test beds for conduct of machinery condition monitoring for the purpose of fault diagnostics and prognostics.
The IMCM research focus is towards development of next generation machinery diagnostics and prognostics techniques that are both intelligent and performing robustly. The laboratory testing equipment includes: turbo-fan system, electric magnetic bearings, bearing test bed, motor-pump-load system, industrial-grade shaker system, and a number of other smaller scale experimental test beds. The research at IMCM is involved with development of advanced signal processing techniques integrating data from multi-modality sensors to intelligently detect minute incipient faults in high-performance machinery and linking rate of growth of the defects to the remaining useful life estimation.
COLLABORATING WITH PARTNERING INSTITUTIONS
The IMCM has been a research collaborator with Penn State University (PSU) Applied Research Laboratory (ARL). The researcher at IMCM lab develop advanced signal processing techniques in conjunction with soft computing technologies (i.e., neural networks, fuzzy logics, and genetic algorithms) for machinery fault diagnostics and prognostics applications. The IMCM laboratory is equipped with variety of machinery health monitoring sensors and systems.
The graduate manufacturing engineering program at TSU offers several graduate level courses in the area of machinery vibration control, fault diagnostics and prognostics, and advanced signal processing. The interested students are encourange to contact us to learn more about this program.