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Bearing fault diagnosis in induction motors is an open field of research. The use of the stator current to monitor the bearing condition has some advantages over other signals such as vibration and acoustic emission, but it has proven to be less effective than for another kind of faults. This paper proposes to overcome these difficulties by an automatic classifier that uses a significant amount of...
Recently, research concerning condition monitoring and fault diagnosis of electrical machines. The increasing importance of these energy conversion devices and their widespread use in uncountable applications has motivated significant research efforts. Various faults are occurring in the stator as well as in the rotor of 3-phase squirrel cage induction motor such as bearing fault, broken rotor bar...
In this paper, Park's vector transformation and frequency domain analysis for fault detection of induction motors are introduced. Then a smart approach based on Adaptive Nuero Fuzzy Inference System (ANFIS) that uses time domain features obtained from the Park's transformation of stator currents is proposed for fault detection. By the proposed method, a 1 mm hole on the inner race and two faults including...
Bearing is the most frequently used component in a wind turbine, and its' faults would lead to completely stall of a machine. Therefore, bearing Fault Diagnosis is an important part of condition monitoring in a wind turbine. This paper presented a High Frequency Resonance (HFR) method to implement bearing fault detection and fault diagnosis. This technique extracted the amplitude and frequency modulations...
The most commonly used components in a wind turbine are bearings which failure could lead to malfunction and ultimately complete stall of a mission-critical equipment. Hence, bearing Fault Detection is an imperative part of preventive maintenance procedures of a wind turbine. This paper presents a Free Parameter method to implement bearing fault diagnosis. This method extracts the amplitude and frequency...
Bearing lubrication is very important to ensure a satisfactory and long operation of bearings. An excess of lubrication can be as damaging as a lack of lubrication. An excess of oil or grease has damaging effects in the short term such as difficult heat evacuation, sliding balls and greater current consumption. As MCSA is widely recognized as a useful and reliable tool for condition monitoring of...
A new method to fault diagnosis of bearing based on order tracking technique and autoregressive (AR) spectrum is presented. Firstly, the transient vibration signals during run-up condition of gearbox are re-sampled using order tracking technique. Therefore, the time domain transient signals are transformed into angle domain stationary signals. Then the AR model estimation is applied to angle domain...
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