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Offline detection of broken rotor ba...
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Powers, Craig Stephen.
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Offline detection of broken rotor bars in AC induction motors.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Offline detection of broken rotor bars in AC induction motors./
作者:
Powers, Craig Stephen.
面頁冊數:
64 p.
附註:
Source: Masters Abstracts International, Volume: 55-03.
Contained By:
Masters Abstracts International55-03(E).
標題:
Engineering. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1606570
ISBN:
9781339394077
Offline detection of broken rotor bars in AC induction motors.
Powers, Craig Stephen.
Offline detection of broken rotor bars in AC induction motors.
- 64 p.
Source: Masters Abstracts International, Volume: 55-03.
Thesis (M.S.)--Colorado State University, 2015.
ABSTRACT.
ISBN: 9781339394077Subjects--Topical Terms:
586835
Engineering.
Offline detection of broken rotor bars in AC induction motors.
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64 p.
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Source: Masters Abstracts International, Volume: 55-03.
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Adviser: George J. Collins.
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OFFLINE DETECTION OF BROKEN ROTOR BARS IN AC INDUCTION MOTORS.
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The detection of the broken rotor bar defect in medium- and large-sized AC induction machines is currently one of the most difficult tasks for the motor condition and monitoring industry. If a broken rotor bar defect goes undetected, it can cause a catastrophic failure of an expensive machine. If a broken rotor bar defect is falsely determined, it wastes time and money to physically tear down and inspect the machine only to find an incorrect diagnosis. Previous work in 2009 at Baker/SKF-USA in collaboration with the Korea University has developed a prototype instrument that has been highly successful in correctly detecting the broken rotor bar defect in ACIMs where other methods have failed. Dr. Sang Bin and his students at the Korea University have been using this prototype instrument to help the industry save money in the successful detection of the BRB defect.
520
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A review of the current state of motor conditioning and monitoring technology for detecting the broken rotor bar defect in ACIMs shows improved detection of this fault is still relevant. An analysis of previous work in the creation of this prototype instrument leads into the refactoring of the software and hardware into something more deployable, cost effective and commercially viable.
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