Machinery Fault Diagnosis and Signal Processing
Machinery Fault Diagnosis and Signal Processing (2018). 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 25 - Practical Signals |
Demonstration of practical stationary and non-stationary signals through a signal generator. Demonstration of picket fence effect in FFT.
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