稼動電動機の確率的巻線短絡故障診断システムの提案
稼動電動機の確率的巻線短絡故障診断システムの提案
カテゴリ: 論文誌(論文単位)
グループ名: 【C】電子・情報・システム部門
発行日: 2012/12/01
タイトル(英語): Proposal of Probabilistic Diagnosis System of Short-Circuit Fault in Motor under Load Condition
著者名: 岸野 光佑(名古屋工業大学),水野 幸男(名古屋工業大学),中村 久栄((株) トーエネック 技術開発室)
著者名(英語): Kosuke Kishino (Nagoya Institute of Technology), Yukio Mizuno (Nagoya Institute of Technology), Hisahide Nakamura (Research and Development Division, TOENEC Corporation)
キーワード: 短絡故障,巻線,電動機,特徴量分布,故障確率 short-circuit fault,winding,motor,feature distribution,fault probability
要約(英語): As a great number of induction motors are used in industry, their safe and consistent operation is highly required. There seem many motors close to the end of their lifetime after a long term operation but little attention has been paid to their maintenance due to requirement of cutting cost. But early identification of a weak motor and its replacement is typically very inexpensive compared to the costs of plant down time and rushed repairs. Thus, establishment of an easy and effective fault diagnosis method has been strongly required to assure operation with high reliability.Short-circuit faults of winding is one of the most probable faults in motor drive systems. This paper proposes a novel and simple method for diagnosing short-circuit failure in stator windings of motors under load condition at site. The method involves probabilistic process for a gauging the probability of fault occurrence by considering distributions of features, i.e. magnitude and phase of current flowing into stator windings, depending on the condition of the short-circuited winding. A series of laboratory experiments and analyses of the results for motors with artificially introduced short-circuit fault proved that the proposed method is promising under load conditions.
本誌: 電気学会論文誌C(電子・情報・システム部門誌) Vol.132 No.12 (2012) 特集:電気関係学会東海支部連合大会
本誌掲載ページ: 1913-1918 p
原稿種別: 論文/日本語
電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/132/12/132_1913/_article/-char/ja/
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