Fourtieth IAS Annual Meeting. Conference Record of the 2005 Industry Applications Conference, 2005.
DOI: 10.1109/ias.2005.1518531
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Modeling and analysis of cage induction motors under rotor misalignment and air gap eccentricity

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Cited by 18 publications
(3 citation statements)
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“…In machines with magnetic bearings [19] or bearingless machines [20] the force can be calculated using the currents in the levitation system. Load cells have been used [21] although they do move when loaded which needs to be taken into account. A more successful mechanical method is to use piezoelectric force cells.…”
Section: The Measurement and Indexing Of Unbalanced Magnetic Pull In mentioning
confidence: 99%
“…In machines with magnetic bearings [19] or bearingless machines [20] the force can be calculated using the currents in the levitation system. Load cells have been used [21] although they do move when loaded which needs to be taken into account. A more successful mechanical method is to use piezoelectric force cells.…”
Section: The Measurement and Indexing Of Unbalanced Magnetic Pull In mentioning
confidence: 99%
“…It showed that inclined eccentricity symmetric to the midpoint of the machine shaft could not be recognized from the current spectrum and would therefore require some other form of detection. Other kinds of axial-varying eccentricity mentioned in some papers are similar to the inclined eccentricity, such as simultaneous static air gap eccentricity and rotor misalignment fault studied in [11] and [12], eccentricity at one end only mentioned in [13].…”
Section: Introductionmentioning
confidence: 99%
“…Noise and vibration monitoring is another monitoring techniques as most of motor faults lead to vibration of the machines. Accelerometer is able to pick up vibration of the machines and hence fault detection is done by spectrum analysis [54], [55]. However vibration monitoring reduces in popularity as installation of sensors are troublesome and not cost effective as well.…”
Section: Other Monitoring Techniquesmentioning
confidence: 99%