JPS6066647A - Diagnosing method of motor - Google Patents

Diagnosing method of motor

Info

Publication number
JPS6066647A
JPS6066647A JP58174870A JP17487083A JPS6066647A JP S6066647 A JPS6066647 A JP S6066647A JP 58174870 A JP58174870 A JP 58174870A JP 17487083 A JP17487083 A JP 17487083A JP S6066647 A JPS6066647 A JP S6066647A
Authority
JP
Japan
Prior art keywords
vibration
motor
value
average value
waveform
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP58174870A
Other languages
Japanese (ja)
Inventor
Tsutomu Kuno
勉 久野
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nippon Steel Corp
Original Assignee
Sumitomo Metal Industries Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sumitomo Metal Industries Ltd filed Critical Sumitomo Metal Industries Ltd
Priority to JP58174870A priority Critical patent/JPS6066647A/en
Publication of JPS6066647A publication Critical patent/JPS6066647A/en
Pending legal-status Critical Current

Links

Abstract

PURPOSE:To accurately diagnose the propriety of a winding by obtaining the maximum amplitude value and the average value of ordinary vibration component from the vibration waveform at the starting time. CONSTITUTION:A piezoelectric acceleration sensor 2 is mounted in a casing of a 3-phase induction motor 1 to detect the vibration at the starting time of the motor 1. The detection signal of this vibration waveform is inputted through a signal processor 3 to a calculator 4. This calculator 4 reads out the input signal at the prescribed sampling pitch to sample the maximum amplitude value as a peak value for the prescribed period. The maximum peak value is determined from the peak values, and the average value of the peak values in the ordinary vibration period is calculated. Further, the sum of the products of the respective peak values and the time is obtained in the entire range of the sample collecting time. The normal or abnormal state of the motor 1 is discriminated by the ratio of the maximum peak value to the average value and the sum in the entire range.

Description

【発明の詳細な説明】 本発明は電動機の##断断性法関し、例えば電動機の起
動時にお番′する振動波形に基づき電動機巻線の絶縁の
良否又はゆるみを診断する方法に関するものである。
DETAILED DESCRIPTION OF THE INVENTION The present invention relates to a method for determining breakability of a motor, and for example, to a method for diagnosing the quality or looseness of the insulation of motor windings based on the vibration waveform that occurs when the motor is started.

電動機の巻線のIf!+縁不良は電動機の寿命に直結し
ているため定期的に診Iliする必要がある。
If of the motor winding! + Edge defects are directly related to the lifespan of the electric motor, so it is necessary to have it checked periodically.

電動機の絶縁の診1i方法とし°Cは、重り1機の起動
時における振動波形を電磁オシログラフ等で記録し、こ
の記録結果に基づき検査員が巻線の絶縁不良を判断する
ものがあった。即ち、巻線の絶縁が劣化して絶縁物に枯
れ(体積減少)を生しると、巻線にゆるみが生じ、電磁
オシログラフにて記録される電動機の振動波形の振幅が
正常時の振幅よりも著しく大きく現れる。例えば、第1
図(イ)にて示す正常時の振動波形に比し、第1図(ロ
)にて示す絶縁不良時又はゆるみ発生時(以下異常時と
いう)の振動波形は、過渡振動期X(起動時から振動が
定常状態になる迄の期間)及び定當振動期Y(過渡振動
期の次に現れる定常状態期間)の双方について振幅が著
しく大きく現れるので電動機の正常、異常が判断できる
のである。
One method for diagnosing the insulation of electric motors was to record the vibration waveform of a single weight using an electromagnetic oscilloscope, etc. when it was started, and based on the recorded results, the inspector determined whether the insulation of the windings was defective. . In other words, when the insulation of the windings deteriorates and the insulators wither (volume reduction), the windings become loose, and the amplitude of the motor's vibration waveform recorded by the electromagnetic oscilloscope becomes the normal amplitude. appears significantly larger than the For example, the first
Compared to the normal vibration waveform shown in Figure (A), the vibration waveform shown in Figure 1 (B) when insulation is defective or loosens (hereinafter referred to as abnormality) is during the transient vibration period Since the amplitude appears extremely large both during the period from 1 to 3 until the vibration reaches a steady state) and during the steady vibration period Y (the steady state period that appears after the transient vibration period), it is possible to determine whether the motor is normal or abnormal.

しかしながら、この方法による場合は正雷、異雷の判断
基準の定量化が難しく、その1lffJIJ)jは検査
員の経験と勘にたよっていたため、検査員個々によるム
ラが甚々しく正確な診断が行えないという9°I[!:
、i、かあっ)ご。
However, when using this method, it is difficult to quantify the criteria for determining whether lightning is true or unusual, and because it relies on the experience and intuition of the inspector, there is considerable variation among individual inspectors, making it difficult to make an accurate diagnosis. 9°I [! :
,i,kaa)go.

本発明は斯かる事情に鑑みてなされたものであり、電1
iIJlaの起動時の振動波形から過渡深度期の最大振
幅値、定常振動期の振幅の平均値及び少な(とも減衰成
分を含む部分の面積をめることにより電動期巻線の絶縁
の良否又はゆるみを正確に111別できる電動機の診断
方法を提供することを目的とする。
The present invention has been made in view of such circumstances, and is
From the vibration waveform at startup of iIJla, the maximum amplitude value in the transient depth period, the average value of the amplitude in the steady vibration period, and the area of the part containing the damping component (both small) can be used to determine the quality or looseness of the insulation of the motor winding. It is an object of the present invention to provide a method for diagnosing an electric motor that can accurately distinguish 111.

本発明に係る電動機の診断方法は、電動機の起動時にお
k)る振動を検出し、該検出結果に基づき電動機巻線の
ゆるみを診断する方法において、電動機に取り(−Jけ
た振動検知器に一ζ前記振動を検出し、検出振動の波形
に基づき、起動時から振動が定ん′状態となる迄の過渡
振動器におりる振動波形の最大振幅値、振動が定常状態
となった定常振動期におりる振動波形の振幅の平均値及
び振動波形の少なくとも減衰成分を含む部分の面積をめ
、これらによって前記巻線のゆるみを判別することを特
徴とする。
A method for diagnosing a motor according to the present invention is a method for detecting vibration that occurs when the motor is started, and diagnosing loosening of the motor windings based on the detection result. 1ζThe vibration is detected, and based on the waveform of the detected vibration, the maximum amplitude value of the vibration waveform that falls on the transient vibrator from the time of startup until the vibration reaches a steady state, and the steady state vibration when the vibration reaches a steady state. The present invention is characterized in that the average value of the amplitude of the vibration waveform over a period of time and the area of a portion of the vibration waveform that includes at least a damping component are determined, and the looseness of the winding is determined based on these.

以下本発明をその実施例を示す図面に基づき詳述する。Hereinafter, the present invention will be explained in detail based on drawings showing embodiments thereof.

第2図は本発明方法の実施状態を示すゾ【ノック図、第
3図はその動作説明のだめの信号波形図、’A4図は演
算装置の演算内容を示すフローチャー1・である。
FIG. 2 is a zonal diagram showing the implementation state of the method of the present invention, FIG. 3 is a signal waveform diagram for explaining its operation, and FIG.

3相誘導電動機1のケーシングには圧電型の加速度セン
サ2が取付けられている。加速度センサ2は電動機1の
起動時の振動を検出するためのものであり、第3図(イ
)に示す様な波形の検出信号を信号処理回路3に人力す
る。信号処理回路3はこの入力信号を増幅、整流し第3
図(ロ)に示すような波形の出力信号として演算装置4
へ入力する。
A piezoelectric acceleration sensor 2 is attached to the casing of the three-phase induction motor 1. The acceleration sensor 2 is for detecting vibrations when the electric motor 1 is started up, and manually inputs a detection signal having a waveform as shown in FIG. 3(a) to the signal processing circuit 3. The signal processing circuit 3 amplifies and rectifies this input signal.
The arithmetic unit 4 outputs a waveform output signal as shown in the figure (b).
Enter.

演算装置4はこの入力信号を一定のサンプリングピンチ
で読込み、一定周期L (又は一定個数の読込データ)
についての最大振幅値をその期間を代表するピーク値a
k (k=1.2・・・n)とする標本化処理を行う。
The arithmetic unit 4 reads this input signal with a certain sampling pinch, and reads the input signal at a certain period L (or a certain number of read data).
The maximum amplitude value for the peak value a representing that period
Sampling processing is performed with k (k=1.2...n).

電動機1の駆動周波数が(iQIIzである場合はLを
1サイクルのIG、67m5とし、標本採取時間Tは2
〜4秒とするのがよい。第3図(ハ)はこのようにして
得られたデータを概念的に示している。以下このグラフ
を参照しつつ説明する。
If the driving frequency of the motor 1 is (iQIIz), L is 1 cycle of IG, 67m5, and the sampling time T is 2
It is best to set the time to ~4 seconds. FIG. 3(c) conceptually shows the data obtained in this way. This will be explained below with reference to this graph.

次に、/iii算装置4は前記ピーク値akの中から最
大のピーク値l目 〔第3図(ハ)ではa3が該当する
〕を決定する。
Next, the /iii calculating device 4 determines the largest peak value l from among the peak values ak (corresponding to a3 in FIG. 3(c)).

次いで、下記+11式で示す演算を実行し、最終ピーク
値anから遡って、例えば20個のピーク値(al’1
−IQ l an−IRl ”’ an−11all 
)の平均値Az、つまり第3図(ハ)に2点鎖線で示す
定常振動期Yにおけるピーク値の平均値A2を算出する
Next, the calculation shown by the following +11 formula is executed to calculate, for example, 20 peak values (al'1
-IQ l an-IRl ”' an-11all
), that is, the average value A2 of the peak values in the steady vibration period Y shown by the two-dot chain line in FIG. 3(c) is calculated.

2υ そして、前記最大ピーク値A1と平均値A2との比、A
I/A2をめる。
2υ And the ratio between the maximum peak value A1 and the average value A2, A
Turn on I/A2.

次に、各ピーク値akと時間【との積の標本採取時間′
rの全範囲での和5a=(al →−a2→−・・・+
an)Lをめる。ここにSaば検出した振動の標本採取
時間1゛内の全成分の面積に相応し、物理的には全成分
のエネルギの時間積分値となっている。また、この和S
aから前記(1)式で示した平均値A2と時間Tとの積
を減産することにらにり、第3図(ハ)に斜線で示すピ
ーク値が平均値A2よりも大きい領域の面積Sdを下記
(2)式により演算する。
Next, the sampling time of the product of each peak value ak and time [
Sum 5a over the entire range of r = (al → −a2 → −...+
an) Add L. Here, it corresponds to the area of all the components within the sampling time of 1'' of the detected vibration, and physically it is the time integral value of the energy of all the components. Also, this sum S
In order to reduce production by the product of the average value A2 and time T shown in formula (1) from a, the area of the region where the peak value shown by diagonal lines in FIG. 3 (c) is larger than the average value A2 Sd is calculated using the following equation (2).

Sd = (al +22+−+an ) L −A2
 T−f21この面積Sdは検出した振動の減衰成分の
面積に相応し、物理的には減衰成分のエネルギの時間積
分値となっている。Sa、Sdの情報内容は略々等価で
あるので、振動波形の状況に応して選択利用すればよく
、例えば過渡振動器のピーク・トつ・ピーク値が大きい
ような場合はSdが零近くの値となって評価できないと
きがあるので、このような場合はSaによるのがよい。
Sd = (al +22+-+an) L-A2
T-f21 This area Sd corresponds to the area of the damping component of the detected vibration, and is physically a time integral value of the energy of the damping component. Since the information contents of Sa and Sd are almost equivalent, they can be used selectively depending on the vibration waveform situation. For example, when the peak/tot/peak value of a transient oscillator is large, Sd is close to zero. In such cases, it is better to use Sa.

次いで、演算装置4は上述した最大ピーク値AI、両者
の比AI/A2、全成分の面積Sa又は減衰成分の面積
Sdをプリンタ5に記録する。
Next, the arithmetic unit 4 records the maximum peak value AI, the ratio AI/A2 therebetween, the area Sa of all components, or the area Sd of the attenuation component on the printer 5.

次に実施例に基づき本発明方法の効果について説明する
Next, the effects of the method of the present invention will be explained based on Examples.

供試用の電動機は10台とし、その仕様は第1表に示す
通りである。なお、巻線にゆるみが存在する場合の起動
時の振動波形に及ぼす影響を調査するためNo、l、3
の電動機は製作時において、そのステータ巻線のワニス
含浸処理を行なっていない。
Ten electric motors were used for testing, and their specifications are shown in Table 1. In addition, in order to investigate the effect on the vibration waveform at startup when there is looseness in the winding, No. 1, No. 3
The stator windings of these motors were not impregnated with varnish at the time of manufacture.

また陽2.4の電動機は上記各電動機と同様にそのステ
ータ巻線のワニス含浸処理を行なわず、更に、U相1極
分をレアーショートさ−Vてあり、更に電動機陽6はレ
アーショートだりをさせてあり、その振動発生量を増大
せしめるべくなしである。
Similarly to the above-mentioned motors, motor No. 2 and No. 4 do not have their stator windings impregnated with varnish, and furthermore, one pole of the U phase is short-circuited to -V, and motor No. 6 is short-circuited. Therefore, there is no way to increase the amount of vibration generated.

なお、ここでは電動機の正常、異常の判断指標として前
記各指標のうち、最大ピーク値A1と平均値A2との比
/’+/Az及び全成分面積Saを用いた。
Here, the ratio /'+/Az between the maximum peak value A1 and the average value A2 and the total component area Sa are used as indicators for determining whether the electric motor is normal or abnormal.

第2表は本発明方法により検出した各電動機の比AI/
A2、全成分面積Sa及び標本採取時間Tを示す表であ
り、第5図は縦軸に比AI/A2を、横軸にSa X 
100/Tを夫々示し、各電動機を第2表に示す実験結
果に基づきプロットしたグラフである。
Table 2 shows the ratio AI/of each motor detected by the method of the present invention.
A2 is a table showing the total component area Sa and sampling time T, and FIG. 5 shows the ratio AI/A2 on the vertical axis and SaX on the horizontal axis.
100/T, and is a graph plotted based on the experimental results shown in Table 2 for each electric motor.

第2表及び第5図によりここで模擬した程度のゆるみ、
即ちワニスを含浸していないことは比AI/A2によっ
ては検出し難く、他の情報の補助、例えばA、、A2の
単独の値又はA1.A2゜A r / A 2の経時変
化等も必要である。
The degree of loosening simulated here according to Table 2 and Figure 5,
That is, the fact that varnish is not impregnated is difficult to detect based on the ratio AI/A2, and it is difficult to detect the fact that it is not impregnated with varnish. Changes in A2°A r /A2 over time, etc. are also required.

これに対してステータ巻線にレアーショートを生ぜしめ
た電動機(陽2,4.6)の比A + / A 2は小
さく、また、面積Saが大きくなっていることが観察で
きる。
On the other hand, it can be observed that the ratio A + /A 2 of the electric motor (positive 2, 4.6) in which a layer short occurred in the stator winding is small, and the area Sa is large.

これにより面積Saの検出はこれのみで界雷判断の指標
となり得ることが考察できる。換言すればレアーショー
ト発生時はどの振動が得られる場合は面積Saのみで異
常が容易に判断できる。
From this, it can be considered that detection of the area Sa alone can serve as an index for determining field lightning. In other words, when a layer short occurs, an abnormality can be easily determined based only on the area Sa, which vibration is obtained.

上記検出結果を観測波形について分類すると、1、第6
図(イ)に示す様に過i振動期の最大ピーク値A1に比
し、定雷振動期の平均値A2の値が非常に小さい、即ち
AI/A2の値が大きく、また面積Saが小さいもの・
・・電動fi& 1 。
Classifying the above detection results in terms of observed waveforms, the 1st, 6th
As shown in Figure (A), the average value A2 during the lightning oscillation period is very small compared to the maximum peak value A1 during the hyper-i oscillation period, that is, the value of AI/A2 is large, and the area Sa is small. thing·
...Electric FI & 1.

3.5 2、第6図(ロ)に示す様に最大ピーク値へ1の値が小
さく平均値A2に略等しく、比AI/A2が小さく、ま
た面積Saが小さいもの・・・電動機階7,8,9.1
0 3、第6図(ハ)に示す様に、最大ピーク値A1及び平
均値A2が共に大きく、また略等しく、1LA+/Az
が小さく、また、面積Saが大きいもの・・・電動機陽
2. 4. 6 上記考察により第6図(ハ)に示す振動波形が現れる場
合に電動機の異常、つまり巻線のゆるみ又は絶縁不良が
発生していることが判断できる。
3.5 2. As shown in Figure 6 (b), the value of 1 to the maximum peak value is small and approximately equal to the average value A2, the ratio AI/A2 is small, and the area Sa is small...Electric motor floor 7 ,8,9.1
0 3. As shown in Figure 6 (c), the maximum peak value A1 and the average value A2 are both large and approximately equal, 1LA+/Az
is small and the area Sa is large...Electric motor positive 2. 4. 6 Based on the above considerations, when the vibration waveform shown in FIG. 6(c) appears, it can be determined that an abnormality in the motor, that is, loosening of the windings or poor insulation has occurred.

また、第5図よりプロットが上から下或いは左から右へ
推移するにつれ、つまり比A 1/ A 2が小さく、
また、面積Saが大きくなるにつれ異常が進行している
ということが判断でき、経時変化の監視による診断には
これを考慮するのがよい。
Also, from Figure 5, as the plot moves from top to bottom or left to right, the ratio A 1 / A 2 becomes smaller,
Furthermore, it can be determined that the abnormality is progressing as the area Sa increases, and this should be taken into consideration in diagnosis by monitoring changes over time.

叙上の如き本発明方法による場合は、最大ピーク値A1
、平均値A2、面積Sa又はSdが定量化できるので、
実験、実績により得られる、第5図に示す様な正常、異
富域を予め判断基準として定めておき、正常、異常判断
対象の電動機の前記実測結果をプロットするか、又はこ
れらの正常時における値を同様にして定量化しておき、
実測時の値と正常時における値を直接比較することによ
り電動機の正常、異常が正確に判断できる。
In the case of the method of the present invention as described above, the maximum peak value A1
, the average value A2 and the area Sa or Sd can be quantified, so
The normal and abnormal enrichment regions shown in Fig. 5, which are obtained through experiments and actual results, are determined in advance as judgment criteria, and the actual measurement results of the motor to be judged as normal and abnormal are plotted, or the normal and abnormal rich regions are plotted or Quantify the values in the same way,
By directly comparing the measured value and the normal value, it is possible to accurately determine whether the motor is normal or abnormal.

なお、上述の最大ピーク値A++平均値A2、面積Sa
又はSdに加えて、下記(3)式で示す起動時における
振動全体の大きさを指標する各ピーク値akの2乗和平
均値Pをめ、これも正常、異常の判断基準とすることと
してもよい。
In addition, the above-mentioned maximum peak value A++ + average value A2, area Sa
Or, in addition to Sd, the average value P of the sum of squares of each peak value ak, which is an index of the overall magnitude of vibration at the time of startup, as shown in the following formula (3), is also used as a criterion for determining whether it is normal or abnormal. Good too.

この2乗和平均値Pも絶縁劣化と共に大きくなって行く
This average value of the sum of squares P also increases as the insulation deteriorates.

また、上述の実施例では3相誘導電動機に本発明方法を
適用する場合について述べたが、単相誘導電動機等の他
の交流電動機についても本発明を適用できることは勿論
である。
Furthermore, in the above-described embodiments, the method of the present invention is applied to a three-phase induction motor, but it goes without saying that the present invention can also be applied to other AC motors such as a single-phase induction motor.

以上詳述した如く本発明に係る電動機の診断方法は、起
動時における電動機の振動を分析し、最大振幅値、定雷
振動成分の振幅の平均値、全成分の面積又は減衰成分の
面積をめるものであるので、電動機巻線の絶縁の良否、
更には製作上の原因によるゆるみの有無が定置的に判断
でき、正確な診断が可能となる等、本発明は優れた効果
を奏する。
As detailed above, the electric motor diagnosis method according to the present invention analyzes the vibration of the electric motor at startup, and estimates the maximum amplitude value, the average value of the amplitude of the lightning vibration component, the area of all components, or the area of the damping component. Therefore, the quality of the insulation of the motor windings,
Furthermore, the present invention has excellent effects, such as being able to determine whether or not there is any loosening due to manufacturing reasons, making accurate diagnosis possible.

【図面の簡単な説明】[Brief explanation of the drawing]

第1図は従来方法の説明のための信号波形図、第2図は
本発明方法の実施状態を示すブロック図、第3図はその
動作説明のための説明図、第4図はフローチャー1−1
第5図は供試用電動機の実験結果をゾロンI・シて示す
グラフ、第6図は電動機の振動波形の種類を示す波形図
である。 】・・・3相銹導電動槻 2・・・加速度センサ3・・
・信号処理回路 4・・・6AW、装置性 許 出願人
 住友金属工業株式会社代理人 弁理士 河 野 登 
夫 第 2 表 Cイ) (ロ) 菟1図 第 2 図 時間 A個 第 3[1 第 4図 第5図 (ハ) 第 6 図
Fig. 1 is a signal waveform diagram for explaining the conventional method, Fig. 2 is a block diagram showing the implementation state of the method of the present invention, Fig. 3 is an explanatory diagram for explaining its operation, and Fig. 4 is a flowchart 1. -1
FIG. 5 is a graph showing the experimental results of the electric motor under test, and FIG. 6 is a waveform chart showing the types of vibration waveforms of the electric motor. ]...Three-phase electric hammer 2...Acceleration sensor 3...
・Signal processing circuit 4...6AW, device characteristics Applicant Sumitomo Metal Industries Co., Ltd. Agent Patent attorney Noboru Kono
Figure 2 Figure 2 C A) (B) Figure 1 Figure 2 Time A number 3 [1 Figure 4 Figure 5 (C) Figure 6

Claims (1)

【特許請求の範囲】[Claims] ■、 電動機の起動時におりる振動を検出し、該検出結
果に基づき電動機巻線のゆるみを診断する方法において
、電動機に取り付りた振動検知器にて前記振動を検出し
、検出振動の波形に基づき、起動時から振動が定常状態
となる迄の過渡振動期における振動波形の最大振幅値、
振動が定常状態となった定常振動期におりる振動波形の
振幅の平均値及び振動波形の少なくとも減*成分を含む
部分の面積をめ、これらによって前記巻線のゆるみを′
p1別することを特徴とする電動機の診断方法。
(2) In a method of detecting the vibration that occurs when the motor starts up and diagnosing the loosening of the motor winding based on the detection result, the vibration is detected with a vibration detector attached to the motor, and the waveform of the detected vibration is detected. Based on the maximum amplitude value of the vibration waveform during the transient vibration period from startup until the vibration reaches a steady state
Calculate the average value of the amplitude of the vibration waveform during the steady vibration period when the vibration has reached a steady state, and the area of the part of the vibration waveform that includes at least the reduced* component, and use these to reduce the loosening of the winding.
A method for diagnosing an electric motor, characterized by classifying P1.
JP58174870A 1983-09-20 1983-09-20 Diagnosing method of motor Pending JPS6066647A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP58174870A JPS6066647A (en) 1983-09-20 1983-09-20 Diagnosing method of motor

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP58174870A JPS6066647A (en) 1983-09-20 1983-09-20 Diagnosing method of motor

Publications (1)

Publication Number Publication Date
JPS6066647A true JPS6066647A (en) 1985-04-16

Family

ID=15986095

Family Applications (1)

Application Number Title Priority Date Filing Date
JP58174870A Pending JPS6066647A (en) 1983-09-20 1983-09-20 Diagnosing method of motor

Country Status (1)

Country Link
JP (1) JPS6066647A (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH04111272U (en) * 1991-03-18 1992-09-28 神鋼電機株式会社 Insulation deterioration detection device for coils of electrical equipment
JP2010256348A (en) * 2009-03-31 2010-11-11 Toray Ind Inc Method and apparatus for diagnosing deterioration in insulation of winding
CN102570729A (en) * 2010-12-27 2012-07-11 东芝三菱电机产业系统株式会社 Maintaining device for electric motor
CN104345273A (en) * 2013-07-24 2015-02-11 中国国际航空股份有限公司 Starter performance detection method and apparatus of airplane auxiliary power unit (APU)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH04111272U (en) * 1991-03-18 1992-09-28 神鋼電機株式会社 Insulation deterioration detection device for coils of electrical equipment
JP2010256348A (en) * 2009-03-31 2010-11-11 Toray Ind Inc Method and apparatus for diagnosing deterioration in insulation of winding
CN102570729A (en) * 2010-12-27 2012-07-11 东芝三菱电机产业系统株式会社 Maintaining device for electric motor
CN104345273A (en) * 2013-07-24 2015-02-11 中国国际航空股份有限公司 Starter performance detection method and apparatus of airplane auxiliary power unit (APU)
US9581124B2 (en) 2013-07-24 2017-02-28 Air China Limited Method and apparatus for detecting performance of an APU starter

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