JPS61170624A - Device for monitoring abnormal operation of water-wheel generator - Google Patents

Abstract

PURPOSE:To discover an abnormality at early time by detecting the vibration or sound of a water-wheel generator, by linearly enciphering the data thereof and by comparing the sensors data at normal time with those which are enciphered linearly. CONSTITUTION:A sensor 10 measures the vibration or sound of a water-wheel generator. A linear enciphering means 20 enciphers linearly the data obtd. by the sensor 10. A deciding means 30 compares the normal value that the data of the sensor 10 are linearly enciphered at the time of the water-wheel generator being normal with the monitored value that the data obtd. by the sensor 10 are linearly ciphered at the time of monitoring the water-wheel generator. And when the difference between the normal value and monitored value is found more than the prescribed value it is decided that the water-wheel generator is abnormal. A warning means 40 warns the abnormal state when the deciding means 30 decides the abnormality.

Description

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.

[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.

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.

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.

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. Therefore, depending on the cause, the damage to the generator may be very large.

[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. .

[Summary of the invention 1] The present invention detects the vibration or sound of a water turbine generator with a sensor, converts the data obtained by this sensor into a linear equation, and converts the sensor data of the water turbine generator during normal times into a linear equation, The sensor data of the water turbine generator during monitoring is compared with a linear mathematical expression, and a warning of abnormal conditions is issued according to the comparison result.

[Example] FIG. 1 is a block diagram showing one embodiment of the present invention.

Senna IO is a vibration sensor that measures the vibration of a water turbine generator (not shown) or an acoustic sensor that detects its sound.

The linear formulating means 20 converts the data obtained by the sensor IO into a linear formula.

The determining means 30 compares a normal value obtained by converting the data of the sensor 10 into a linear equation when the water turbine generator is normal, and a monitoring value obtained by converting the data obtained by the sensor 10 into a linear equation while monitoring the water turbine generator. It operates according to the results of this comparison.

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.

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.

Next, the operation of the above embodiment will be explained.

FIG. 2 is a flowchart of the above embodiment.

First, by inputting various conditions at the power plant, setting processing is performed (spt), 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, a regression calculation is performed and converted into a linear formula. In other words, it is calculated to express the change in the output value of the above data with respect to time as a mathematical formula (
SP3), here, the value converted into a linear formula in SP3 is defined as a normal value.

Then, in SP4, an abnormal value is temporarily set.The temporary setting of the abnormal value is such that it has a certain width around the normal value, and anything exceeding this width is determined to be an abnormal value.

The steps up to this point are so-called pre-processing.

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 converted into a linear formula (SP6).The value converted into a linear formula in this SP6 is called a monitored value.

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; If it is abnormal, it is judged to be normal (SF3), and if it is abnormal, the cause of the abnormality, changes over time, etc. are recorded (SF3).
F3) By making this record, the condition of the water turbine generator can be determined at a glance, and is therefore useful for maintenance and inspection of the equipment.

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 SF3, a warning is issued by the warning means 40 (
SPIO).

By the way, data during normal operation is taken in SF3, but the number of output powers of the water turbine generator when this data is taken is not so large, and this output power does not necessarily match the output power during monitoring. In this case, there is no normal value under the same conditions as the output power during monitoring. In this case, the value converted into a linear formula during normal operation is estimated by Lagrangian interpolation.

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.

In addition, linear expression is performed in SF3 or SF3, but similarly to this, a method of Fourier transforming the output data of the sensor 10 and frequency analysis may also be used.
In that case, in the comparative judgment (SF3), 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 abnormal. Let's judge that there is.

[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.

[Brief explanation of drawings]

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... Linear formulating means, 30.
... Judgment means, 40... Warning means.

Claims (5)

[Claims] (1) A sensor that detects the vibration or sound of the water turbine generator; A linear mathematical expression means that converts the data obtained by this sensor into a linear mathematical expression; When the water turbine generator is normal, the linear mathematical expression means converts the data obtained by the sensor into a linear mathematical expression. a determination means that compares the normal value expressed as a normal value with a monitored value expressed in a linear expression by the linear expression means while monitoring the water turbine generator, and operates according to the comparison result; An abnormal operation monitoring device for a water turbine generator, comprising: a warning means for warning of an abnormal condition when activated. (2) In claim 1, the linear formulating means changes the output power of the water turbine generator and performs the linear formulating for each different output power. Abnormal operation monitoring device for water turbine generators. (3) In claim 1, the linear formulating means uses Lagrangian interpolation to
1. An abnormal operation monitoring device for a water turbine generator, characterized in that it performs linear mathematical expression based on output power during normal operation corresponding to output power during monitoring. (4) In claim 1, the water turbine power generation system is characterized in that the determination means has a learning function that automatically uses an updated value of linear expression as the normal value. Abnormal operation monitoring device of the machine. (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.