Title :
Use of hidden Markov models for partial discharge pattern classification
Author :
Satish, L. ; Gururaj, B.I.
Author_Institution :
Dept. of High Voltage Eng., Indian Inst. of Sci., Bangalore, India
fDate :
4/1/1993 12:00:00 AM
Abstract :
An attempt was made to use hidden Markov models (HMM) to classify partial discharge (PD) image patterns. After an introduction to HMM, the methodology and algorithms for evolving them are explained. The selection of the model and training parameters and the results obtained are discussed. The utility of the approach is evaluated by applying it to five types of actual PD image patterns. The performance of the HMM approach is shown to exceed that of neural networks
Keywords :
hidden Markov models; image recognition; insulation testing; partial discharges; algorithms; hidden Markov models; image patterns; insulation diagnostics; partial discharge pattern classification; training parameters; Aging; Hidden Markov models; Insulation; Partial discharge measurement; Partial discharges; Pattern analysis; Pattern classification; Pulse measurements; Speech recognition; Voltage;
Journal_Title :
Electrical Insulation, IEEE Transactions on
