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Machinery Fault Diagnosis and Signal Processing

Machinery Fault Diagnosis and Signal Processing. Instructor: Prof. A. R. Mohanty, Department of Mechanical Engineering, IIT Kharagpur. Machinery Condition Monitoring is gaining importance worldwide due to its cost benefit to the industries in large in the long run. This course will introduce students/faculty/industry professionals to the basics of machinery condition monitoring, including an introduction to signal processing and fault diagnostics techniques. The techniques of vibration monitoring, wear and debris analysis, motor current signature analysis, thermography and few non-destructive test techniques as used in condition based monitoring will be discussed. Few case studies will also be discussed. (from nptel.ac.in)

Lecture 16 - Basics of Instrumentation


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Lecture 01 - Introduction
Lecture 02 - Principles of Maintenance
Lecture 03 - Failure Modes Effects and Criticality Analysis
Lecture 04 - Fault Diagnostics and Prognostics
Lecture 05 - Basics of Machinery Vibration
Lecture 06 - Engineering Applications of Vibration
Lecture 07 - Rotordynamics
Lecture 08 - Time Domain Signal Analysis
Lecture 09 - Frequency Domain Signal Analysis
Lecture 10 - Computer Aided Data Acquisition
Lecture 11 - Fast Fourier Transform Analysis
Lecture 12 - Modulation and Sidebands
Lecture 13 - Envelope Analysis
Lecture 14 - Cepstrum Analysis
Lecture 15 - Order Analysis
Lecture 16 - Basics of Instrumentation
Lecture 17 - Sensors and Transducers
Lecture 18 - Data Recording and Transmission
Lecture 19 - Vibration Transducers
Lecture 20 - Vibration Monitoring
Lecture 21 - Basics of Noise and Noise Monitoring
Lecture 22 - Numericals in Noise Vibration and Data Acquisition
Lecture 23 - Unbalance Detection
Lecture 24 - Field Balancing
Lecture 25 - Misalignment Detection
Lecture 26 - Cracked Shaft Detection
Lecture 27 - Looseness and Rub Detection
Lecture 28 - Ball and Journal Bearings
Lecture 29 - Gear Fault Detection
Lecture 30 - Fans, Blowers and Compressors
Lecture 31 - Pumps and Turbines
Lecture 32 - Contaminant Analysis
Lecture 33 - Oil Analysis
Lecture 34 - Fault Detection in Motors and Transformers
Lecture 35 - Motor Current Signature Analysis
Lecture 36 - Thermography
Lecture 37 - Ultrasonics
Lecture 38 - Acoustic Emission and Eddy Current Testing
Lecture 39 - Radiography, Dye Penetrant Test and Visual Inspection
Lecture 40 - Case Studies