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Fault Diagnosis of Helical Gear Box using Large Margin K-Nearest Neighbors Classifier using Sound Signals
In this paper, attempt has been made in using sound signals acquired from gears in good and simulated faulty conditions for the purpose of fault diagnosis through a machine learning approach.
Bayesian Sample Size Determination of Vibration Signals in Machine Learning Approach to Fault Diagnosis of Roller Bearings
Sample size determination for a data set is an important statistical process for analyzing the data to an optimum level of accuracy and using minimum computational work.
Misfire Detection in IC Engine using Kstar Algorithm
Useful features can be extracted from these patterns and can be analyzed to detect misfire.
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