Abstract:
Motors are the workhorses of the industry. Safety, reliability, efficiency, and performance are
some of the major concerns and needs for motor system applications. The issue of preventive
and condition-based maintenance, online monitoring, system fault detection, diagnosis, and
prognosis are of increasing importance. The use of motors in today's industry is extensive and
the motors can be exposed to different hostile environments, misoperations,manufacturing
defect etc. Different internal motor faults (eg. inter-turn short circuits, short circuit of motor
leads, ground faults, bearing and rotor faults) along with external motor faults are expected to
happen sooner or later.//
Early fault detection, diagnosis, and prognosis allow preventive condition based maintenance
to be arranged for the motor system during scheduled downtime and prevent an extended
period of downtime caused by system failures.//
This thesis deals with the stator Faults and mainly for inter-turn short circuit fault. The faults
related to the rotor and bearing also are considered in many research and developed successful
fault diagnosis techniques. Literature survey revealed that Fast Fourier Transform (FFT)
based current spectrum analysis can be successfully applied in rotor and bearing faults
analysis.//
FFT based Inter-turn short circuit analysis, Air-gap flux sensing by external coils and Partial
Discharge (PD)analysis have been discussed. This research has been focused to the negative
sequence current analysis, since the FFT augmentation due to inter- turn fault is marginal.//
A Power Decomposition Technique (PDT)has been used to derive positive and negative
sequence components of measured voltage and current. A multi-phase based motor model is
developed to simulate the inter turn fault and the results are verified by practical testing. The
practical current waveforms are subjected to power decomposition based sequence component
analysis in MAT LAB calculation platform.
iv
The practical testing has been done for loaded machine and the machine under no load
condition to prove no load machine is more suitable for applying this technique. Harmonic
analysis also has been done for comparison.
Simulation model is validated using the practical test results. Either novel methods of on line
monitoring or off-line inter turn fault diagnosis as routing maintenance test scheme is
presented.
