Machinery Fault Diagnosis and Signal Processing free videos and free material uploaded by IIT Kharagpur Staff .
Week 1: Maintenance Principles, FMECA, Fault Prognosis
Week 2: Vibration Analysis, Experimental Modal Analysis, Rotor Dynamics
Week 3: Time domain Signal analysis, Data Acquisition, Filtering
Week 4: Fourier Series, FFT, Modulation and Sidebands
Week 5: Order Analysis, Orbits
Week 6: Instrumentation, Data Recording
Week 7: Vibration and Noise Monitoring
Week 8: Rotating Machines, Bearings and Gears
Week 9: Fans, Blowers, Pumps, IC Engines
Week 10: Motor Current Signature Analysis, Wear Debris and Oil Analysis
Week 11: NDT, Ultra-sonics, Eddy Current
Week 12: Case Studies, Failure Analysis
The subject of machinery condition monitoring has been recently receiving considerable attention in India owing to concerns related to equipment reliability and safety. This increasing interest is primarily due to the significant impact of economic changes and strong competition in the global market. This course will provide students/engineers/managers with the state of the art techniques in machinery condition monitoring along with the recent developments in the field of signal processing, thermography, ultra sonics apart from the traditional noise and vibration monitoring. There will be demonstration of real time machinery health monitoring by various condition monitoring aspects. INTENDED AUDIENCE: Students, Faculty Members, Industry Professionals. PRE- REQUISITES: BE/B. Tech in Mechanical Engineering INDUSTRY SUPPORT : PSUs like SAIL, ONGC, BHEL, NALCO, EIL, RINL, BARC, Indian Railways, HAL, DRDO Organizations Private Industries like TATA Group, Jindals, Reliance, Birla Group
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