JPH0543263B2 - - Google Patents
Info
- Publication number
- JPH0543263B2 JPH0543263B2 JP6170286A JP6170286A JPH0543263B2 JP H0543263 B2 JPH0543263 B2 JP H0543263B2 JP 6170286 A JP6170286 A JP 6170286A JP 6170286 A JP6170286 A JP 6170286A JP H0543263 B2 JPH0543263 B2 JP H0543263B2
- Authority
- JP
- Japan
- Prior art keywords
- analysis
- drive shaft
- play
- high frequency
- shaft torque
- 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.)
- Expired - Lifetime
Links
- 238000004458 analytical method Methods 0.000 claims description 50
- 238000000034 method Methods 0.000 claims description 18
- 230000008859 change Effects 0.000 claims description 7
- 238000005259 measurement Methods 0.000 claims description 2
- 238000000611 regression analysis Methods 0.000 claims description 2
- 238000000556 factor analysis Methods 0.000 claims 1
- 238000005096 rolling process Methods 0.000 description 39
- 239000000463 material Substances 0.000 description 10
- 238000012545 processing Methods 0.000 description 10
- 230000008569 process Effects 0.000 description 9
- 230000005856 abnormality Effects 0.000 description 4
- 238000003745 diagnosis Methods 0.000 description 4
- 238000011156 evaluation Methods 0.000 description 3
- 230000006698 induction Effects 0.000 description 3
- 238000012423 maintenance Methods 0.000 description 3
- 230000009467 reduction Effects 0.000 description 3
- 238000006243 chemical reaction Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000007689 inspection Methods 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 239000002184 metal Substances 0.000 description 2
- 229910052751 metal Inorganic materials 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 230000003321 amplification Effects 0.000 description 1
- 230000007423 decrease Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000008676 import Effects 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 150000002739 metals Chemical class 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 230000004044 response Effects 0.000 description 1
Landscapes
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Description
【発明の詳細な説明】
(産業上の利用分野)
この発明は、例えば金属、紙などの圧延機やシ
ヤー、ならびにその他の製鉄機械などのように、
回転機構部を有する回転機械の駆動系に発生する
ガタ量を診断するための方法に関する。DETAILED DESCRIPTION OF THE INVENTION (Industrial Application Field) This invention is applicable to rolling mills and shears for metals, paper, etc., as well as other iron-making machines, etc.
The present invention relates to a method for diagnosing the amount of backlash occurring in a drive system of a rotating machine having a rotating mechanism.
(従来の技術とその問題点)
回転機械の駆動系、特に減速機やカムワルツを
用いた駆動系にはガタが発生し易い。従来そのよ
うな回転機械の駆動系のガタ量の評価は、例えば
ギヤー系のガタ量については、作用面と反作用面
でギヤーを接触させて、その時の回転角の大きさ
により評価している。しかしながらこの方法は設
備停止時においてのみ実施可能であり、また軸受
廻りのガタを評価できないという難点がある。一
方“圧延設備分科会資料”圧設33−−4「分塊
圧延機スピンドルトルク連続監視装置」住友金属
工業(鹿島)”においては、圧延機の運転中にブ
レーキングをかけ、そのときの圧延トルクと回転
数の変化により定量的に駆動系(ただしギヤー系
のみ)のギヤツプ(角度換算値)を求めている。
しかしながらこの方法では、定常運転中のガタ量
を正確に把握することができない。(Prior art and its problems) Backlash is likely to occur in drive systems of rotating machines, especially drive systems that use reduction gears or cam waltz. Conventionally, the amount of backlash in the drive system of such a rotating machine has been evaluated by, for example, the amount of play in the gear system by bringing the gears into contact with the action surface and the reaction surface, and by the magnitude of the rotation angle at that time. However, this method has the disadvantage that it can only be carried out when the equipment is stopped, and that play around the bearing cannot be evaluated. On the other hand, in "Rolling Equipment Subcommittee Materials" Rolling 33--4 "Bulking mill spindle torque continuous monitoring device" Sumitomo Metal Industries (Kashima), braking is applied during operation of the rolling mill, and the rolling The gap (angular conversion value) of the drive system (gear system only) is determined quantitatively from changes in torque and rotational speed.
However, with this method, it is not possible to accurately determine the amount of backlash during steady operation.
(発明の目的)
この発明の目的は、上記従来技術の問題点を解
消し、回転機械が定常運転中に駆動系のガタの程
度を連続的に、しかも正確かつ容易に管理するこ
とができ、加えて軸受廻りのガタを含んた駆動系
の総合的なガタ評価を行なうことができる回転機
械の駆動系のガタ診断方法を提供することであ
る。(Object of the Invention) The object of the present invention is to solve the problems of the prior art described above, and to enable continuous, accurate and easy control of the degree of play in the drive system during steady operation of a rotating machine. In addition, it is an object of the present invention to provide a method for diagnosing play in a drive system of a rotating machine that can perform a comprehensive play evaluation of the drive system including play around the bearings.
(目的を達成するための手段)
上記目的を達成するため、この発明による回転
機械の駆動系のガタ診断方法においては、回転機
械の駆動軸トルクを測定し、該測定により得られ
た駆動軸トルクデータからTAF値解析、寄与率
解析、および高周波成分解析のうちの少なくとも
1つの解析を実行し、当該解析結果に基づいて前
記回転機械の駆動系のガタを禁断するようにして
いる。このとき前記TAF値解析においては前記
駆動軸トルクデータにおけるピークトルクと定常
トルクとの比の値(TAF値)の変化からガタ量
を解析し、前記寄与率解析においては前記駆動軸
トルクデータと所定の駆動条件との間で重会寄分
析を行なつてその回寄の寄与率の変化からガタ量
を解析し前記高周波成分解析においては前記駆動
軸トルクデータの周波数分析を行なつて、含まれ
てい高周波成分の変化からガタ量を解析する。(Means for Achieving the Object) In order to achieve the above object, in the method for diagnosing backlash in the drive system of a rotating machine according to the present invention, the drive shaft torque of the rotating machine is measured, and the drive shaft torque obtained by the measurement is At least one of a TAF value analysis, a contribution rate analysis, and a high frequency component analysis is executed from the data, and based on the analysis result, play in the drive system of the rotating machine is prohibited. At this time, in the TAF value analysis, the amount of backlash is analyzed from the change in the ratio value (TAF value) between peak torque and steady torque in the drive shaft torque data, and in the contribution rate analysis, the amount of backlash is analyzed based on the change in the ratio of peak torque to steady torque (TAF value) in the drive shaft torque data. The amount of play is analyzed from the change in the contribution rate of the overlap by performing a overlap analysis with the driving conditions of Analyze the amount of backlash from changes in high frequency components.
(実施例)
図面は、この発明による方法を実現するための
装置構成の一例を示すブロツク図である。なお以
下にはこの発明を圧延機に適用した実施例につき
詳述するが、この発明は圧延機以外の回転機械に
も同様に適用できるものである。(Embodiment) The drawing is a block diagram showing an example of an apparatus configuration for realizing the method according to the present invention. In the following, an embodiment in which the present invention is applied to a rolling mill will be described in detail, but the present invention can be similarly applied to rotating machines other than rolling mills.
図面において、圧延機駆動軸(図示せず)の可
能な限りモータ寄りの所にはトルクセンサ(図示
せず)および誘導電源型FMテレメータ1が配設
され、該トルクセンサにより検出された圧延機駆
動軸のトルク信号はFMテレメータ1を介して無
線伝送される。FMテレメータ1には誘導電源装
置2から連続給電が行なわれ、いわゆるフリーメ
ンテ態様にて駆動軸トルク信号を導出するように
している。 In the drawing, a torque sensor (not shown) and an induction power type FM telemeter 1 are installed on the rolling mill drive shaft (not shown) as close to the motor as possible, and the rolling mill power detected by the torque sensor The torque signal of the drive shaft is wirelessly transmitted via the FM telemeter 1. The FM telemeter 1 is continuously supplied with power from an induction power supply device 2, and is configured to derive a drive shaft torque signal in a so-called free maintenance manner.
FMテレメータ1から伝送されてきた駆動軸ト
ルク信号は、受信機3により受信される。受信さ
れた駆動軸トルク信号はA/Dコンバータ4でア
ナログ信号からデイジタル信号に変換された後、
マイクロコンピユータ5ぬ与えられる。一方、マ
イクロコンピユータ5は圧延機お制御するための
プロセスコンピユータ6と接続されており、該プ
ロセスコンピユータ6から圧延材料情報および圧
延条件情報を取込む。圧延材料情報は例えば圧延
材の寸法に関する情報であつて、圧延材の幅を表
わすデータや厚みを表わすデータなどを含んでい
る。圧延条件情報は圧延条件に関する情報であつ
て、例えば圧下率、圧延温度、ロールスピードと
圧延材のスピード差、ロール径などを表わすデー
タを含んでいる。 The drive shaft torque signal transmitted from the FM telemeter 1 is received by the receiver 3. The received drive shaft torque signal is converted from an analog signal to a digital signal by the A/D converter 4, and then
Five microcomputers will be provided. On the other hand, the microcomputer 5 is connected to a process computer 6 for controlling the rolling mill, and receives rolling material information and rolling condition information from the process computer 6. The rolled material information is, for example, information regarding the dimensions of the rolled material, and includes data representing the width and thickness of the rolled material. The rolling condition information is information regarding rolling conditions, and includes data representing, for example, rolling reduction, rolling temperature, speed difference between roll speed and rolled material, roll diameter, and the like.
マイクロコンピユータ5は上述した駆動軸トル
クデータ並びに、圧延材料情報および圧延条件情
報をオンラインにて自動的にサンプリングして取
込む。なおオンライン処理が困難な場合には、バ
ツチ処理によることもできる。 The microcomputer 5 automatically samples and imports the above-described drive shaft torque data, rolling material information, and rolling condition information online. Note that if online processing is difficult, batch processing can also be used.
マイクロコンピユータ5では上記入力データに
基づいて、TAF値解析、寄与率解析、高周波成
分解析の3通りの解析が実行される。またマイク
ロコンピユータ5はこれらの解析結果を時系列的
に傾向管理に、さらに解析結果に基づいて圧延機
駆動系の異常を判定する。これらの解析処理、傾
向管理処理および異常判定処理について以下に詳
述する。 The microcomputer 5 executes three types of analysis based on the input data: TAF value analysis, contribution rate analysis, and high frequency component analysis. Further, the microcomputer 5 uses these analysis results for trend management in chronological order, and further determines abnormalities in the rolling mill drive system based on the analysis results. These analysis processing, trend management processing, and abnormality determination processing will be described in detail below.
解析処理の第1はTAF値解析である。TAF値
解析においては、駆動軸トルクデータにおけるピ
ークトルクと定常トルクの比の値(TAF値:
Troque Amplification Factor)の変化から圧
延機駆動系のガタの程度を定量化する。ここでピ
ートルクとは所定区間における最大のトルク値で
あつて、所定区間としては例えば圧延材がロール
に噛込んでから抜けるまでの区間を選択しもよい
し(この場合は一般的に噛込み時がピークとな
る)、その間をさらに細かく分けてもよい。また
定常トルクは通常、負荷に比例し、例えば上記所
定区間において変動する駆動軸トルクの収斂値を
定常トルクとすることができる、圧延機駆動系の
ガタ(軸受廻りのガタを含む)が大きくなるとこ
れに応じてTAF値が大きくなり、またTAF値の
ばらつきの度合も大きくなることが見出されてい
る。したがつて、TAF値そのものの値や、TAF
値のばらつきの度合を表わす指標としての例えば
標準偏差の値から、圧延機駆動系のガタを定量的
に判断することが可能となる。この観点から
TAF値解析では、圧延機駆動系のガタを評価す
るための基礎データとしてTAF値および、必要
に応じてその標準偏差を求める。 The first analysis process is TAF value analysis. In TAF value analysis, the value of the ratio of peak torque to steady torque in drive shaft torque data (TAF value:
The degree of backlash in the rolling mill drive system is quantified from the change in Troque Amplification Factor). Here, the peak torque is the maximum torque value in a predetermined section, and the predetermined section may be, for example, the section from when the rolled material is bitten into the roll until it comes out (in this case, it is generally is the peak), and it is also possible to further subdivide the area between them. In addition, steady torque is usually proportional to the load, and for example, the convergence value of the drive shaft torque that fluctuates in the above-mentioned predetermined section can be taken as steady torque.When the play in the rolling mill drive system (including play around the bearings) increases, It has been found that the TAF value increases accordingly, and the degree of variation in the TAF value also increases. Therefore, the value of the TAF value itself and the TAF
It becomes possible to quantitatively determine the looseness of the rolling mill drive system from, for example, the value of standard deviation as an index representing the degree of variation in values. From this point of view
In TAF value analysis, the TAF value and, if necessary, its standard deviation are determined as basic data for evaluating the backlash of the rolling mill drive system.
解析処理の第2は寄与率解析である。寄与率解
析においては、駆動軸トルクデータの所定の駆動
条件との間で重回帰分析を行なつて、回帰の寄与
率の変化から圧延機駆動系のガタので程度を定量
化する。所定の駆動条件とは例えば圧延材の寸法
(幅、厚みなど)や圧延条件(圧下率、圧延温度、
ロールスピードと圧延材のスピード差ロール径な
ど)であつて、これらのデータは上述したように
プロセスコンピユータ6から与えられる。重回帰
式は任意の形式のものであつてよく、当該重回帰
式を用いてリアルタイムて理論的に計算される駆
動軸トルクと実測の駆動軸トルクとを比較して、
両者の一致率、すなわち寄与率(0≦寄与率≦1
で1に近い程良い)を求める。圧延機駆動系のガ
タ(軸受廻りのガタを含む)が大きくなるとこれ
に応じて寄与率が小さくなり、また寄与率のばら
つきの度合が大きくなるこが見出されている。し
たがつて寄与率そのものの値や、寄与率のばらつ
きの度合を表らす指標としての例えば標準偏差の
値から、圧延機駆動系のガタを定量的に判断する
ことが可能となる。この観点から寄与率解析で
は、圧延機駆動系のガタを評価するための基礎デ
ータとして寄与率および、必要に応じてその標準
偏差を求める。 The second analysis process is contribution rate analysis. In the contribution rate analysis, multiple regression analysis is performed between drive shaft torque data and predetermined drive conditions, and the degree of backlash in the rolling mill drive system is quantified from changes in the regression contribution rate. The predetermined driving conditions include, for example, the dimensions of the rolled material (width, thickness, etc.) and rolling conditions (reduction ratio, rolling temperature,
(roll speed, speed difference of rolled material, roll diameter, etc.), and these data are given from the process computer 6 as described above. The multiple regression equation may be of any format, and the drive shaft torque theoretically calculated in real time using the multiple regression equation and the actually measured drive shaft torque are compared,
The coincidence rate of both, that is, the contribution rate (0≦contribution rate≦1
The closer it is to 1, the better). It has been found that as the play in the rolling mill drive system (including play around the bearings) increases, the contribution rate decreases and the degree of variation in the contribution rate increases. Therefore, it is possible to quantitatively determine the backlash of the rolling mill drive system from the value of the contribution rate itself or the value of, for example, the standard deviation as an index representing the degree of variation in the contribution rate. From this point of view, in the contribution rate analysis, the contribution rate and, if necessary, its standard deviation are determined as basic data for evaluating the looseness of the rolling mill drive system.
解析処理の第3は高周波成分解析である。高周
波成分解析においては、駆動軸トルクデータの周
波数分析を行なつて、含まれている高周波成分の
変化から圧延機駆動系のガタの程度を定量化す
る。高周波成分とは例えば20〜50Hz以上の周波数
成分であり、高周波成分の含有率を定量化する指
標として例えば高周波成分の総エネルギ量を求め
てもよいし、また或る任意の高周波数成分のみに
注目してその大きさを見るようにしてもよい。圧
延機駆動系のガタ(軸受廻りのガタを含む)が大
きくなると、これに応じて高周波成分が多くなる
(シヤーにおいてはより顕著である)ことが見出
されている。したがつて、高周波成分の総エネル
ギ量や所定の高周波数成分の大きさから、圧延機
駆動系のガタを定量的に判断することが可能とな
る。この観点から、高周波成分解析では、圧延機
駆動系のガタを評価するための基礎データとして
高周波成分の総エネルギ量あるいは所定の高周波
数成分を大きさを求める。 The third analysis process is high frequency component analysis. In the high frequency component analysis, frequency analysis of the drive shaft torque data is performed, and the degree of backlash in the rolling mill drive system is quantified from changes in the included high frequency components. A high frequency component is, for example, a frequency component of 20 to 50 Hz or more, and as an index for quantifying the content of high frequency components, for example, the total amount of energy of the high frequency components may be determined, or only a certain arbitrary high frequency component may be used. You may pay attention to its size. It has been found that as the play in the rolling mill drive system (including play around the bearings) increases, the amount of high frequency components increases accordingly (this is more noticeable in shear). Therefore, it becomes possible to quantitatively determine the play in the rolling mill drive system from the total energy amount of the high frequency components and the magnitude of a predetermined high frequency component. From this point of view, in high frequency component analysis, the total energy amount of high frequency components or the magnitude of a predetermined high frequency component is determined as basic data for evaluating play in the rolling mill drive system.
傾向管理処理においては、上記解析結果に基づ
いて圧延機駆動系のガタの程度を時系列的かつ定
量的に傾向管理し、駆動系の各装置を状態保全
(CBM:Condition Based Maintenance)して
いく。例えばオンライン処理によるときは、常時
解析結果を出力し、またはメモリに解析結果を蓄
積しておいて必要に応じてこれを読出し、解析結
果(例えばグラフ化して出力する)の変化の傾向
から圧延機駆動系のガタの進行具合を診断するこ
とができる。解析結果が最も良好であるのは駆動
系の機構を取換えた直後であり、最も悪いのは取
換える直前であるので、過去の診断結果と対比す
ることによりガタが何%程度進行したかを定量的
に判定することが可能となる。またバツチ処理に
よるときには、例えば1か月ごとの解析結果をグ
ラフ化して出力し、上記オンライン処理によるの
と同様の診断を行なうことができる。 In the trend management process, based on the above analysis results, the degree of backlash in the rolling mill drive system is managed in a time-series and quantitative manner, and each device in the drive system is maintained in condition based maintenance (CBM). . For example, when using online processing, the analysis results are constantly output, or the analysis results are stored in memory and read out as needed, and the rolling mill The progress of play in the drive system can be diagnosed. The best analysis result is immediately after replacing the drive system mechanism, and the worst is immediately before replacing it, so by comparing it with past diagnosis results, it is possible to determine the percentage of play that has progressed. It becomes possible to make a quantitative determination. Furthermore, when using batch processing, the analysis results for each month can be output in a graph, for example, and diagnosis similar to that using the online processing described above can be performed.
異常判定処理においては、上記解析結果に基づ
いて圧延機駆動系のガタが許容できないレベルに
まで達したかどうかを判定し、設備が決定的なダ
メージを受ける前に警報を発する。判定の方法と
しては例えば、TAF値解析、寄与率解析、高周
波成分分解析の各解析結果に予め選定しておいた
固有の評価係数をかけ、それからの合計が所定値
に達したか否かにより総合的に判定することがで
きる。また例えば、各解析結果を多次元テーブル
として表わし、該多次元テーブル内に警戒ゾーン
を予め設定しておいて、実際の解析結果がこの警
告ゾーンに達したときに警報を発するようにして
もよい。作業者はこの警報に応じ、精密点検ある
いは分解点検を実施することになる。 In the abnormality determination process, it is determined based on the above analysis results whether the backlash in the rolling mill drive system has reached an unacceptable level, and an alarm is issued before the equipment is seriously damaged. For example, the determination method is to multiply each analysis result of TAF value analysis, contribution rate analysis, and high frequency component analysis by a pre-selected unique evaluation coefficient, and then check whether the total has reached a predetermined value. It can be judged comprehensively. For example, each analysis result may be represented as a multidimensional table, a warning zone may be set in advance in the multidimensional table, and an alarm may be issued when the actual analysis result reaches this warning zone. . In response to this alarm, the operator will conduct a detailed inspection or disassembly inspection.
マイクロコンピユータ5では以上の処理に加え
て、圧延機負荷の定量管理を行なうことができ
る。すなはち実測した駆動軸トルクを常時、ある
いはこれをメモリに蓄積しておいて必要な時の
み、例えばグラフ化して出力するようにすれば、
圧延機にどの様な負荷がかかつているのかを時系
列的かつ定量的に知ることができる。このデータ
の利用の一例として、上記ガタ診断結果と対比さ
せれば、ガタの進行が少ないにもかかわらず負荷
のかかり方が異常に変化しておれば、例えば当該
圧延機の前段の処理装置に何らかの不都合が発生
したのではないかということが予測できる。 In addition to the above processing, the microcomputer 5 can also perform quantitative management of the rolling mill load. In other words, if the actually measured drive shaft torque is always stored in memory and outputted only when necessary, for example in the form of a graph,
What kind of load is being applied to the rolling mill can be known chronologically and quantitatively. As an example of the use of this data, if you compare it with the backlash diagnosis results above, if there is an abnormal change in the way the load is applied even though the progress of play is small, for example, if the processing equipment in the front stage of the rolling mill is It can be predicted that some kind of inconvenience has occurred.
なお上記実施例においてはTAF値解析、寄与
率解析、高周波成分解析の3通りの解析を用いた
が、必ずしもこれら全部用いる必要はなく、状況
に応じこれらを適当に組合せ、または単独で用い
ればよい。 In the above example, three types of analysis were used: TAF value analysis, contribution rate analysis, and high frequency component analysis, but it is not necessary to use all of them, and they may be used in appropriate combinations or singly depending on the situation. .
(発明の効果)
以上説明したように、この発明によれば、回転
機械が定常運転中のその駆動系のガタの程度を連
続的に定量管理することができる。したがつて、
設備の決定的なダメージによる操業トラブルを予
防することができるので、設備不良休止による操
業損失を防止できる。また設備が決定的なダメー
ジを受ける前に修理、補修を実施できるので、保
全費の低減を図ることができる。加えて駆動系の
ガタによる製品品質を異常を有効に防止すること
が可能となる。(Effects of the Invention) As described above, according to the present invention, it is possible to continuously and quantitatively manage the degree of play in the drive system of a rotating machine during steady operation. Therefore,
Since it is possible to prevent operational troubles due to definitive damage to equipment, it is possible to prevent operational losses due to equipment malfunctions and shutdowns. Furthermore, maintenance costs can be reduced because repairs can be carried out before equipment is seriously damaged. In addition, it is possible to effectively prevent product quality abnormalities due to play in the drive system.
さらにこの発明によれば、回転機械の軸受廻り
のガタを含んだ駆動系の総合的ガタ評価を行なう
ことができ、またそのガタ診断もオペレータが1
人で端末機を操作することにより容易かつ正確に
行なうことができる。またガタ診断に併せて、駆
動系の負荷を常時定量管理することも可能とな
る。 Furthermore, according to the present invention, it is possible to perform a comprehensive evaluation of play in the drive system, including play around the bearings of rotating machinery, and the operator can diagnose the play in a single step.
This can be done easily and accurately by manually operating the terminal. In addition to backlash diagnosis, it is also possible to constantly quantitatively manage the load on the drive system.
図面はこの発明による方法を実現するための装
置構成例を示すブロツク図である。
1……FMテレメータ、2……誘導電源装置、
3……受信機、4……A/D変換器、5……マイ
クロコンピユータ、6……プロセスコンピユー
タ。
The drawing is a block diagram showing an example of a device configuration for implementing the method according to the present invention. 1...FM telemeter, 2...Induction power supply device,
3...Receiver, 4...A/D converter, 5...Microcomputer, 6...Process computer.
Claims (1)
より得られた駆動軸トルクデータからTAF値解
析、寄与率解析、および高周波成分解析のうちの
少なくとも1つの解析を実行し、当該解析結果に
基づいて前記回転機械の駆動系のガタを診断する
方法であつて、前記TAF値解析においては前記
駆動軸トルクデータにおけるピークトルクと定常
トルクとの比の値(TAF値)の変化からガタ量
を解析し、前記寄与率解析においては前記駆動軸
トルクデータと所定の駆動条件との間で重回寄分
析を行なつてその回寄の寄与率の変化からガタ量
を解析し、前記高周波成分解析においては前記駆
動軸トルクデータの周波数分析を行なつて、含ま
れている高周波成分の変化からガタ量を解析す
る、回転機械の駆動系のガタ診断方法。1. Measure the drive shaft torque of the rotating machine, perform at least one of TAF value analysis, contribution factor analysis, and high frequency component analysis from the drive shaft torque data obtained from the measurement, and based on the analysis results. In the TAF value analysis, the amount of play is analyzed from a change in the ratio of peak torque to steady torque (TAF value) in the drive shaft torque data. However, in the contribution rate analysis, a multiple regression analysis is performed between the drive shaft torque data and a predetermined drive condition, and the amount of backlash is analyzed from the change in the contribution rate of the rotation, and in the high frequency component analysis, A method for diagnosing play in a drive system of a rotating machine, which performs frequency analysis of the drive shaft torque data and analyzes the amount of play based on changes in high frequency components included.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP6170286A JPS62215842A (en) | 1986-03-18 | 1986-03-18 | Method for diagnosing backlash of drive system of rotary machine |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP6170286A JPS62215842A (en) | 1986-03-18 | 1986-03-18 | Method for diagnosing backlash of drive system of rotary machine |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPS62215842A JPS62215842A (en) | 1987-09-22 |
| JPH0543263B2 true JPH0543263B2 (en) | 1993-07-01 |
Family
ID=13178836
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP6170286A Granted JPS62215842A (en) | 1986-03-18 | 1986-03-18 | Method for diagnosing backlash of drive system of rotary machine |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPS62215842A (en) |
-
1986
- 1986-03-18 JP JP6170286A patent/JPS62215842A/en active Granted
Also Published As
| Publication number | Publication date |
|---|---|
| JPS62215842A (en) | 1987-09-22 |
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