JPS61170625A - Device for monitoring abnormal operation of water-wheel generator - Google Patents
Device for monitoring abnormal operation of water-wheel generatorInfo
- Publication number
- JPS61170625A JPS61170625A JP60012129A JP1212985A JPS61170625A JP S61170625 A JPS61170625 A JP S61170625A JP 60012129 A JP60012129 A JP 60012129A JP 1212985 A JP1212985 A JP 1212985A JP S61170625 A JPS61170625 A JP S61170625A
- Authority
- JP
- Japan
- Prior art keywords
- water turbine
- turbine generator
- value
- frequency analysis
- sensor
- 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
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
- G01H1/00—Measuring characteristics of vibrations in solids by using direct conduction to the detector
- G01H1/003—Measuring characteristics of vibrations in solids by using direct conduction to the detector of rotating machines
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
Description
【発明の詳細な説明】
［産業上の利用分野］
本発明は、水車発電機の異常運転を監視する装置に関す
る。DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to a device for monitoring abnormal operation of a water turbine generator.
［従来の技術］
従来、水力発電所における水車発電機の運転状況を把握
するには、人間の五感に頼り、勘だけで水車発電機が正
常であるか否かを把握していた。[Prior Art] Conventionally, in order to understand the operating status of a water turbine generator in a hydroelectric power plant, humans have relied on their five senses and have been able to ascertain whether the water turbine generator is normal or not based only on their intuition.
ところで、水力発電所は最近、無人化が進み、水車発電
機の正常か否かを判断する場合に、各種センサを使用す
ることによって判断するようになってきた。By the way, recently, hydroelectric power plants have become increasingly unmanned, and various sensors have been used to determine whether or not a water turbine generator is normal.
すなわち、水車発電機の振動レベルを検出する振動セン
サを設け、この振動センサによる振動レベルの増加が所
定値以上に達した場合に、その水車発電機が異常である
と判断したり、水車発電機の温度変化が所定値以上の場
合に水車発電機の故障であると判断する。In other words, a vibration sensor is installed to detect the vibration level of a water turbine generator, and when the increase in the vibration level measured by this vibration sensor reaches a predetermined value or more, it is determined that the water turbine generator is abnormal, or the water turbine generator is If the temperature change is greater than or equal to a predetermined value, it is determined that the water turbine generator is malfunctioning.
上記のように従来は、水車発電機の振動レベルまたは温
度変化を単純に検出判断するだけであったために、水車
発電機の異常検出が遅れてしまうという問題がある。そ
して、その故障原因によっては、発電機に与える損傷が
非常に大きい場合がある。As described above, conventional methods have simply detected and judged the vibration level or temperature change of the water turbine generator, which causes a problem in that abnormality detection of the water turbine generator is delayed. Depending on the cause of the failure, the damage to the generator may be very large.
［本発明の目的］
本発明は、上記従来の問題点に着目して成されたもので
、水車発電機における異常を早期に検出できる異常運転
監視装置を提供することを目的とするものである。[Object of the present invention] The present invention has been made by focusing on the above-mentioned conventional problems, and an object of the present invention is to provide an abnormal operation monitoring device that can detect abnormalities in a water turbine generator at an early stage. .
［発明の概要］
本発明は、水車発電機の振動または音をセンサで検出し
、このセンナで得たデータを周波数分析し、正常時にお
ける水車発電機のセンサデータを周波数分析したものと
、監視時における水車発電機のセンサデータを周波数分
析したものとを比較し、この比較結果に応じて異常状態
を警告するものである。[Summary of the Invention] The present invention detects the vibration or sound of a water turbine generator with a sensor, performs frequency analysis on the data obtained by this sensor, and performs frequency analysis on the sensor data of the water turbine generator during normal conditions, and monitors the vibration or sound of the water turbine generator. This system compares the sensor data of the water turbine generator at the same time with frequency analysis, and warns of abnormal conditions based on the comparison results.
［実施例］ 第１図は２本発明の一実施例を示すブロック図である。[Example] FIG. 1 is a block diagram showing an embodiment of the present invention.
センナ１０は１図示しない水車発電機の振動を測定する
振動センサまたはその音響を検出する音響センナである
。The sensor 10 is a vibration sensor that measures the vibration of a water turbine generator (not shown) or an acoustic sensor that detects its sound.
周波数分析手段２０は、センサ１０で得たデータを周波
数分析するものである。The frequency analysis means 20 analyzes the frequency of the data obtained by the sensor 10.
判定手段３０は、水車発電機が正常な時にセンサｌＯの
データを周波数分析した正常値と、水車発電機を監視し
ている時にセンサ１０で得たデータを周波数分析した監
視値とを比較するものであり、この比較結果に応じて作
動するものである。The determination means 30 compares a normal value obtained by frequency analysis of the data of the sensor 10 when the water turbine generator is normal and a monitored value obtained by frequency analysis of the data obtained by the sensor 10 while monitoring the water turbine generator. It operates according to the comparison result.
すなわち判定手段３０は、上記正常値と上記監視値との
差が所定値以上の場合に、水車発電機が異常であると判
断するものである。That is, the determining means 30 determines that the water turbine generator is abnormal when the difference between the normal value and the monitored value is greater than or equal to a predetermined value.
警告手段４０は、判定手段３０が水車発電機の異常を判
断した時に、その異常状態を警告するものであり、ブザ
ーまたはベルなどの部材である。The warning means 40 is a member such as a buzzer or a bell that warns of the abnormal state when the determining means 30 determines that there is an abnormality in the water turbine generator.
次に上記実施例の動作について説明する。Next, the operation of the above embodiment will be explained.
第２図は、上記実施例のフローチャートである。FIG. 2 is a flowchart of the above embodiment.
まず、発電所における種々の条件を入力することによっ
て、設定処理する（ＳＰＩ）、ここでＳＰは、ステップ
を表わすものとし、以下同様である０次に正常時におけ
る発電機の出力電力を変化させて、その出力電力ごとに
、水車発電機の振動または音響データを取り込む（ＳＰ
２）、そして、上記データに基いて、回帰計算を行ない
、周波数分析する。すなわち、センサ１０で得られたデ
ータをフーリエ変換することによって周波数分析するた
めに演算する（ＳＰ３）、ここで、Ｓｒ３において周波
数分析した値を、正常値とする。First, by inputting various conditions at the power plant, setting processing is performed (SPI), where SP represents a step, and the same applies below. and capture the vibration or acoustic data of the water turbine generator for each output power (SP
2) Then, based on the above data, regression calculation is performed and frequency analysis is performed. That is, the data obtained by the sensor 10 is subjected to Fourier transform to perform frequency analysis (SP3). Here, the value subjected to frequency analysis in Sr3 is set as a normal value.
そして、ＳＰ４において異常値の仮設定を行なう、゛こ
の異常値の仮設定は、上記正常値を中心としである幅を
持たせ、この幅を超えたものを異常値とするものである
。Then, in SP4, an abnormal value is temporarily set. This temporary setting of an abnormal value is such that a certain range is set around the above-mentioned normal value, and anything exceeding this range is set as an abnormal value.
ここまでの段階が、いわゆる前処理といわれるものであ
る。The steps up to this point are so-called pre-processing.
次に、監視処理を行なう、すなわち、まず、監視時にお
ける水車発電機の出力電力を変化させながら、その水車
発電機の振動または音響データを取り込む、つまり、出
力電力をパラメータとして振動または音響データを取り
込む（ＳＰ５）、そして、その監視時のデータに基づい
て回帰計算を行ない、周波数分析する（ＳＰ６）、この
ＳＰ６において周波数分析した値を監視値という。Next, perform monitoring processing, that is, first, while changing the output power of the water turbine generator during monitoring, take in the vibration or acoustic data of the water turbine generator. The data is taken in (SP5), and a regression calculation is performed based on the data at the time of monitoring, and frequency analysis is performed (SP6).The value analyzed in frequency at this SP6 is called a monitored value.
次に、ＳＦ３で求めた正常値とＳＦ３で求めた監視値と
を比較し、その値がＳＦ３で設定した異常値を超えたな
らば、水車発電機が異常であると判断し、それ以内なら
ば正常であると判断する（ＳＦ３）、すなわち、正常値
と監視値との間で、所定周波数ごとに出力レベルを比較
し、その差が所定値以上ならば水車発電機が異常である
と判断する。そして、異常である場合にはその異常原因
、経年変化などを記録する（ＳＦ３）、この記録を行な
うことによって、水車発電機の状態を一目で判断するこ
とができ、したがって設備の保守点検に役立つ。Next, compare the normal value determined in SF3 with the monitored value determined in SF3, and if the value exceeds the abnormal value set in SF3, it is determined that the water turbine generator is abnormal; (SF3). In other words, the output level is compared between the normal value and the monitored value for each predetermined frequency, and if the difference is greater than the predetermined value, the water turbine generator is judged to be abnormal. do. If there is an abnormality, record the cause of the abnormality, changes over time, etc. (SF3). By making this record, the condition of the water turbine generator can be judged at a glance, which is useful for equipment maintenance and inspection. .
そして、水車発電機が正常であると判断されたならば、
ＳＦ３に戻ってＳＦ３までの処理を繰り返す、この繰り
返しを一定周期ごとに行ない、定期的に水車発電機の状
態を把握する。もし、Ｓ２Ｏにおいて、水車発電機が異
常であるならば、警告手段４０によって警告を行なう（
ＳＰＩＯ）。And if it is determined that the water turbine generator is normal,
Returning to SF3, the process up to SF3 is repeated.This repetition is performed at regular intervals, and the state of the water turbine generator is periodically grasped. If the water turbine generator is abnormal in S2O, a warning is issued by the warning means 40 (
SPIO).
ところで、ＳＦ３において正常時のデータを取り込むの
であるが、このデータ取りをしたときの水車発電機の出
力電力の数は、それ程多くなく、この出力電力と監視時
における出力電力とは必ずしも一致しない、この場合に
は、監視時の出力電力と同じ条件における正常値が存在
しない、この場合には、正常時の周波数分析した値をラ
グランジュの補間によって推定するようにする。By the way, data during normal operation is imported in SF3, but the number of output power of the water turbine generator at the time of data acquisition is not so large, and this output power does not necessarily match the output power at the time of monitoring. In this case, there is no normal value under the same conditions as the output power during monitoring. In this case, the frequency-analyzed value at normal times is estimated by Lagrangian interpolation.
また、監視を行なっていく間に、すなわち経時変化で、
正常時のデータそのものが変化するものであり、すなわ
ちＳＦ３によって得られた正常値は次第に変化する。こ
の場合に、監視時のデータを所定回数取り込んだ後に、
その平均値を正常時のデータとみなして正常値を更新す
るようにしてもよい、つまり、学習機能を発揮させるよ
うにすれば、より信頼性の高いものとなる。このように
することによって、水車発電機の固有振動を自動的に補
正したことになる。Also, while monitoring, that is, due to changes over time,
The normal data itself changes, that is, the normal value obtained by SF3 gradually changes. In this case, after capturing the monitoring data a predetermined number of times,
The average value may be regarded as normal data and the normal value may be updated. In other words, if the learning function is activated, the reliability will be higher. By doing this, the natural vibration of the water turbine generator is automatically corrected.
また、ＳＦ３またはＳＦ３において周波数分析を行なっ
ているが、これと同様に１時間に対するセンサ１０の出
力データの変化を数式化する手法を併用してもよい。Furthermore, although frequency analysis is performed in SF3 or SF3, a similar method of formulating changes in output data of the sensor 10 over one hour may be used in combination.
［発明の効果］
本発明は、少しの異常でも確実に検出できるので水車発
電機の異常を早期に検出でき、したがって事故の未然防
止に役立つという効果を有する。[Effects of the Invention] The present invention has the effect that even the slightest abnormality can be detected reliably, so that abnormalities in the water turbine generator can be detected at an early stage, thereby helping to prevent accidents.
第１図は本発明の一実施例を示すブロック図、第２図は
上記実施例のフローチャートである。
１０・・・センサ、２０・・・周波数分析手段、３０・
・・判定手段、４０・・・警告手段。FIG. 1 is a block diagram showing one embodiment of the present invention, and FIG. 2 is a flowchart of the above embodiment. DESCRIPTION OF SYMBOLS 10... Sensor, 20... Frequency analysis means, 30.
... Judgment means, 40... Warning means.
Claims (5)
する周波数分析手段と； 前記水車発電機が正常のときに前記周波数分析手段が周
波数分析した正常値と、前記水車発電機を監視している
ときに前記周波数分析手段が周波数分析した監視値とを
比較し、この比較結果に応じて作動する判定手段と； この判定手段が作動したときに、異常状態を警告する警
告手段と； を有することを特徴とする水車発電機の異常運転監視装
置。(1) A sensor that detects vibration or sound of the water turbine generator; A frequency analysis means that performs a Fourier transform on the data obtained by this sensor to analyze the frequency; When the water turbine generator is normal, the frequency analysis means detects the frequency. a determination means that compares the analyzed normal value with a monitored value frequency-analyzed by the frequency analysis means while monitoring the water turbine generator, and operates according to the comparison result; the determination means operates; An abnormal operation monitoring device for a water turbine generator, comprising: a warning means for warning of an abnormal condition;
化させて、異なる出力電力ごとに、前記周波数分析を行
なうものであることを特徴とする水車発電機の異常運転
監視装置。(2) A water turbine according to claim 1, wherein the frequency analysis means changes the output power of the water turbine generator and performs the frequency analysis for each different output power. Abnormal operation monitoring device for generators.
監視時の出力電力に対応した正常時の出力電力に基づい
て周波数分析を行なうものであることを特徴とする水車
発電機の異常運転監視装置。(3) In claim 1, the frequency analysis means uses Lagrangian interpolation to
1. An abnormal operation monitoring device for a water turbine generator, characterized in that frequency analysis is performed based on normal output power corresponding to output power during monitoring.
された値を自動的に使用する学習機能を有するものであ
ることを特徴とする水車発電機の異常運転監視装置。(4) The water turbine generator according to claim 1, wherein the determination means has a learning function that automatically uses an updated value of frequency analysis as the normal value. Abnormal operation monitoring device.
るものであることを特徴とする水車発電機の異常運転監
視装置。(5) The abnormal operation monitoring device for a water turbine generator according to claim 1, further comprising a printer for printing the normal value and the monitored value.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP60012129A JPS61170625A (en) | 1985-01-25 | 1985-01-25 | Device for monitoring abnormal operation of water-wheel generator |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP60012129A JPS61170625A (en) | 1985-01-25 | 1985-01-25 | Device for monitoring abnormal operation of water-wheel generator |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| JPS61170625A true JPS61170625A (en) | 1986-08-01 |
Family
ID=11796920
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP60012129A Pending JPS61170625A (en) | 1985-01-25 | 1985-01-25 | Device for monitoring abnormal operation of water-wheel generator |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JPS61170625A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS636423A (en) * | 1986-06-27 | 1988-01-12 | Electric Power Dev Co Ltd | Monitoring system for tone generated from power plant main machine |
| JPH01311817A (en) * | 1988-06-10 | 1989-12-15 | Toshiba Corp | Monitor for abnormality of electrical equipment |
| EP0541277A2 (en) * | 1991-11-02 | 1993-05-12 | Westland Helicopters Limited | Integrated vibration reducing and structural health and usage monitoring system for a helicopter |
| JP2022082474A (en) * | 2020-11-17 | 2022-06-02 | 株式会社酉島製作所 | Abnormality diagnosis device and abnormality diagnosis method of vibration machine |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS5892828A (en) * | 1981-11-27 | 1983-06-02 | Toshiba Corp | Monitoring device for operation state |
| JPS5997017A (en) * | 1982-11-26 | 1984-06-04 | Mitsubishi Electric Corp | Inspector for equipment with sound or vibration |
-
1985
- 1985-01-25 JP JP60012129A patent/JPS61170625A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS5892828A (en) * | 1981-11-27 | 1983-06-02 | Toshiba Corp | Monitoring device for operation state |
| JPS5997017A (en) * | 1982-11-26 | 1984-06-04 | Mitsubishi Electric Corp | Inspector for equipment with sound or vibration |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS636423A (en) * | 1986-06-27 | 1988-01-12 | Electric Power Dev Co Ltd | Monitoring system for tone generated from power plant main machine |
| JPH01311817A (en) * | 1988-06-10 | 1989-12-15 | Toshiba Corp | Monitor for abnormality of electrical equipment |
| EP0541277A2 (en) * | 1991-11-02 | 1993-05-12 | Westland Helicopters Limited | Integrated vibration reducing and structural health and usage monitoring system for a helicopter |
| EP0541277A3 (en) * | 1991-11-02 | 1994-09-07 | Westland Helicopters | Integrated vibration reducing and health monitoring systems |
| JP2022082474A (en) * | 2020-11-17 | 2022-06-02 | 株式会社酉島製作所 | Abnormality diagnosis device and abnormality diagnosis method of vibration machine |
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