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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 19 - Cepstrum Analysis

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Lecture 01 - Introduction

Lecture 02 - Maintenance Principles

Lecture 03 - FMECA

Lecture 04 - Fault Diagnostics and Prognostics

Lecture 05 - Machine Learning in CBM

Lecture 06 - Basics of Vibration

Lecture 07 - Free and Forced Response

Lecture 08 - Vibration and Shock Isolation

Lecture 09 - Rotordynamics

Lecture 10 - Practical Examples of Vibration

Lecture 11 - Time Domain Analysis

Lecture 12 - Frequency Domain Analysis

Lecture 13 - Non Stationary Signal Analysis

Lecture 14 - Modulation and Beats

Lecture 15 - Orbit and Order Analysis

Lecture 16 - Computer Aided Data Acquisition

Lecture 17 - Wireless Data Acquisition

Lecture 18 - Data Recording

Lecture 19 - Cepstrum Analysis

Lecture 20 - Hilbert Transform in Condition Monitoring

Lecture 21 - Introduction to MATLAB

Lecture 22 - Signal Processing using MATLAB

Lecture 23 - Numericals in Signal Processing and Data Acquisition

Lecture 24 - Signal Heterodyning

Lecture 25 - Practical Signals

Lecture 26 - Basics of Instrumentation

Lecture 27 - Signal Conditioning and Filtering

Lecture 28 - Errors in Measurements

Lecture 29 - Dynamic Range and Frequency Response

Lecture 30 - Overview of Transducers for CBM

Lecture 31 - Accelerometers

Lecture 32 - Vibration Monitoring

Lecture 33 - Rotational Speed Measurements

Lecture 34 - Basics of Noise

Lecture 35 - Noise Monitoring: Noise Standards, Human Hearing

Lecture 36 - Introduction to Faults in Rotating Machines

Lecture 37 - Unbalance Detection

Lecture 38 - Field Balancing

Lecture 39 - Misalignment

Lecture 40 - Crack and Looseness

Lecture 41 - Journal and Antifriction Bearings

Lecture 42 - Gears

Lecture 43 - Pumps and Cavitation

Lecture 44 - IC Engines

Lecture 45 - Machinery Diagnostic Chart

Lecture 46 - Principles of Motor Current Signature Analysis

Lecture 47 - Faults in Electrical Machines

Lecture 48 - Thermography

Lecture 49 - Wear Debris Analysis

Lecture 50 - Oil Analysis

Lecture 51 - Ultrasonics

Lecture 52 - Eddy Current and Acoustic Emission

Lecture 53 - Radiography, Dye Penetrant Tests

Lecture 54 - Tool Condition Monitoring

Lecture 55 - Experimental Modal Analysis

Lecture 56 - Introduction to Failure Analysis

Lecture 57 - Railway Locomotive Noise and Vibration Monitoring

Lecture 58 - Paper Mill Vibration Monitoring

Lecture 59 - Overview of CBM Facilities

Lecture 60 - Future of Condition based Monitoring