Condition Monitoring and Prognosis of Electrical Equipment

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CONDITION MONITORING AND ME02000801
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Code: ME02000801 Credits: 4 Semester 2 E(SE

Condition Monitoring and Prognosis of Electrical Equipment

Get the full GTU study material, English & Gujarati textbook PDFs, syllabus curriculum, and solved previous year question papers.

Condition Monitoring and Prognosis of Electrical Equipment Syllabus — Unit-wise Content

The official GTU curriculum for Condition Monitoring and Prognosis of Electrical Equipment (subject code ME02000801) as prescribed for E(SE · Semester 2 divides the course into 6 units, covering 97 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.

Download the official syllabus PDF (ME02000801)

Unit 1 Advanced Maintenance and Condition Monitoring

4 lecture hours

  • Importance and necessity of maintenance
  • different maintenance strategies like Breakdown maintenance
  • planned maintenance and condition-based maintenance
  • Planned and preventive maintenance of transformer
  • induction motor and alternators
  • Insulation stressing factors
  • insulation deterioration
  • polarization index
  • dielectric absorption ratio
  • Insulation ageing mechanisms
  • Insulation failure modes
  • Definition of terms
  • Overview of Advanced tools and techniques (AI & IOT) of condition monitoring
  • Variety of sensors for Current
  • Voltage etc parametric monitoring for direct signature analysis for given network condition & equipment health

Unit 2 Transformer Diagnostics Technique (Part-1)

4 lecture hours

  • Transformer failure pattern and failure analysis
  • Aging of electrical Power infrastructure
  • Diagnostic method
  • Transformer oil paper insulation system
  • Remaining life analysis (Statistical Techniques)
  • Robotic unit for direct immersion in transformer tanks for high resolution imaging and integrated condition assessment without draining transformer oil 4 10 Conventional tests
  • Dissolved Gas Analysis
  • Gas Evolution in a Transformer
  • Key Gas method
  • IEEE Method
  • Gas Ratio Method
  • Fault Detectability using DGA, Combine Criteria for DGA 4 10 Degree of Polymerization and Furan Analysis
  • Moisture analysis in Transformer Oil, Time domain Dielectric Response Methods
  • Polarization and depolarization current measurements
  • Frequency Domain Dielectric Frequency Response (DFR) Method
  • Introduction and Basic Philosophy
  • Advantages and Disadvantages of DFR measurement in Time and Frequency domain

Unit 3 Transformer Diagnostics Technique (Part-2)

  • Partial Discharge measurements
  • PD Measuring circuits
  • signature analysis
  • Indirect electrical measurement
  • UHF sensor and HF CT, Measurement of PD under DC, Acoustic Technique
  • Overview of Acoustic Technique

Unit 4 Detection of Winding Displacements, Sweep Frequency Response

4 lecture hours

  • Basic features of SFRA response
  • connection methods
  • Transfer function features
  • FRA Test Types
  • Basics of FRA interpretation
  • Influence of winding parameters on FRA, Online FRA measurement 4 OLTC and Bushing diagnostics
  • Life Assessment and Refurbishment 2 Program Name: Master of Engineering Level: PG Subject Code: ME02000801 Subject Name: Condition Monitoring and Prognosis of Electrical Equipment 4
  • Condition Monitoring of Rotating Electrical Machines Introduction to motor condition monitoring
  • The need for monitoring
  • What and when to monitor
  • operation and failure modes of electrical machines
  • Structure of electrical machines and their types
  • Machine specification and failure modes
  • Failure sequence and effect on monitoring
  • Typical root causes and failure modes
  • Root causes
  • Failure modes

Unit 5 Temperature monitoring

6 lecture hours

  • Instrumentation requirement for Temperature measurement
  • Local temperature measurement
  • Hot-spot measurement and thermal images
  • Bulk measurement Chemical monitoring Insulation degradation
  • Factors that affect detection
  • Insulation degradation detection
  • Particulate detection: core monitors
  • Particulate detection: chemical analysis
  • Gas analysis off-line
  • Gas analysis on-line
  • Lubrication oil and bearing degradation
  • Motor Current Signature Analysis Identifying methods of Mechanical Faults with Motor Current Signature Analysis (MCSA)
  • faults that can beDetected with MCSA: Air-Gap Eccentricity
  • Broken Rotor Bars
  • Bearings Damage
  • Shorted Turns in Stator Windings, etc
  • Vibration monitoring Instrument required for Vibration measurement
  • Condition monitoring of rotating elements
  • Bearing response
  • Rolling element bearings
  • bearing geography
  • Bearing Monitoring techniques
  • Overall level monitoring
  • Frequency spectrum monitoring
  • Sensors for foundation tilt
  • drive shaft twisting etc. monitoring

Unit 6 Condition monitoring and diagnostics of electrical circuit breakers

6 lecture hours

  • Contact Resistance Measurement
  • Timing Analysis
  • Dynamic Resistance Measurement (DRM)
  • Partial Discharge (PD) Testing
  • Gas Analysis for SF₆ Circuit Breakers
  • Vibration Analysis
  • Thermal Imaging
  • Insulation Resistance Testing
  • Circuit Breaker Analyzer
  • Acoustic Emission Testing
  • Trip Coil Current Analysis
  • Mechanical Travel Analysis
  • travel curve including position
  • angular & linear sensors for kinematic chain health/ twist monitoring
  • self-powered wireless sensors for contact temperature monitoring
  • micro motion pulses for overall electrical circuit health without creating breaker operation Program Name: Master of Engineering Level: PG Subject Code: ME02000801 Subject Name: Condition Monitoring and Prognosis of Electrical Equipment

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