Muhammad Masood Tahir

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A new diagnostic scheme is presented for ball bearing localized faults based on pattern recognition (PR) methods, which utilize preprocessed time domain features. The features are statistically processed (FP) using their central tendency (CT) estimations, prior to the classification process. Vibration data is acquired from faulty bearings, and the features(More)
A new diagnostic scheme is presented for ball bearing localized faults, which utilizes preprocessed time domain features based pattern recognition (PR). Vibration data is acquired from faulty bearings using a test rig, and the features are extracted from the data segments that are prepro-cessed prior to use in the fault classification process. The(More)
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