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    Vibration-Based Detection and Classification of Mechanical Defects in Induction Motor-Driven Systems During the Starting Transient
    (Ieee-Inst Electrical Electronics Engineers Inc, 2025) Battulga, Byambasuren; Shaikh, Muhamad Faizan; Goktas, Taner; Arkan, Muslum; Lee, Sang Bin
    Vibration analysis is considered the most common and effective means of detecting mechanical faults such as imbalance, misalignment, and looseness in induction motor driven systems. Most mechanical problems result in an increase in vibration at multiples of the rotor speed frequency (1x) making it difficult to discern the source of vibration. In case of a fault alarm, the maintenance engineer usually performs a walk-around test to identify the source of vibration for planning maintenance, and therefore, is exposed to safety risks. In this paper, a new remote and automated test method for identifying the source of mechanical vibration during the starting transient of induction motors is proposed. The level and speed-dependency of vibration during rotor acceleration are used for identifying imbalance from other mechanical defects that produce 1x vibration. Test results on a 380 V, 5.5 kW induction motor under mechanical defects are given for verification. It is shown that the proposed method can provide automated identification of the source of vibration enabling maintenance to be performed in a safe, low cost, and efficient manner. The data acquired and analyzed for the testing are described and shared through this paper.
  • Küçük Resim Yok
    Öğe
    Vibration-based Identification of Mechanical Defects in Induction Motor-driven Systems during the Starting Transient
    (Ieee, 2024) Battulga, Byambasuren; Shaikh, Muhamad Faizan; Goktas, Taner; Arkan, Muslum; Bin Lee, Sang
    Vibration analysis is the most widely applied method for detecting mechanical faults such as load unbalance, misalignment, and looseness in induction motor driven systems. Most mechanical problems result in an increase in vibration at the rotor frequency (1x) making it difficult to identify the source of vibration for planning maintenance action. If the vibration level is excessive, a walk-around test is usually performed by the maintenance engineer to identify the source of vibration, exposing the maintenance personnel to safety risks. In this paper, a new remote, automated method for identifying the source of vibration during the starting transient of induction motors is proposed. The level and speed-dependency of vibration during rotor acceleration are used for identifying the cause of vibration. Experimental results on an induction motor under emulated mechanical defects are given to show the remote and automated capability of the proposed method for safe, low cost, and efficient maintenance.