CHECKLIST.md

Machinery Fault Diagnostics and Signal Processing

• Week 1: Introduction to Maintenance, Diagnostics, and Prognostics

  • Introduction to the Course and Maintenance Principles.
  • Maintenance Techniques and FMECA (Failure Mode Effect and Criticality Analysis).
  • Definitions: Fault, Detection, Isolation.
  • Prognostics and RUL (Remaining Useful Life).
  • Machine Learning for CBM..

• Week 2: Machinery Vibration (Prerequisite)

  • Vibration Concepts (Free and Forced Response).
  • Vibration and Shock Isolation.
  • Rotordynamics and Critical Speed.
  • Practical Examples of Vibration (Relating to CBM).

• Week 3: Basics of Signal Processing

  • Time Domain Analysis.
  • Frequency Domain Analysis.
  • Non-Stationary Signals.
  • Signal Manifestations (Modulation, Beating).
  • Orbit and Order Analysis.

• Week 4: Data Acquisition and Special Signal Techniques

  • Data Acquisition (DAQ):
    • Ill Effects and Limits of DAQ.
    • Errors in DAQ.
    • Wireless Data Acquisition
  • Special Techniques:
    • Cepstrum Analysis.
    • Hilbert Transform (Envelope Analysis).

• Week 5: Numericals

  • Numericals on Signal Processing.
  • Signal Heterodyning.
  • Practical Signals from Machines for CBM.

• Week 6: Instrumentation and Signal Conditioning

  • Overview of Instrumentation
  • Signal Conditioning and Filtering
  • Errors in Measurement
  • Dynamic Range and Frequency Response of Transducers
  • List of Transducers for Different CBM Techniques

• Week 7: Noise and Vibration Measurements

  • Noise and Vibration Measure Transducers
  • Rotational Speed Measurement for CBM

• Week 8: Faults in Rotating Machines (I)

  • Obvious Faults
    • Unbalance and Balancing
    • Misalignment
    • Crack
    • Looseness

• Week 9: Faults in Rotating Machines (II) and Diagnostic Chart

  • Faults in Machine Components
    • Bearings (Journal)
    • Gears
    • Pumps
    • Engines
  • Machinery Diagnostic Chart

• Week 10: Other CBM Technique

  • Principles of MCSA (Motor Current Signature Analysis)
  • Faults in Electrical Machines
  • Thermography
  • Wear Debris Analysis and Oil Analysis

• Week 11: Non-Destructive Testing (NDT) and Other Techniques

  • NDT Techniques (Ultrasonic, Radiography, Eddy Current)
  • TCM (Tool Condition Monitoring) via Sensor Fusion
  • EMA (Experimental Modal Analysis) and Resonance

• Week 12: Failure Analysis and Case Studies

  • Failure Analysis
  • Case Studies.