KR20160006281A - Monitoring method and system - Google Patents
Monitoring method and system Download PDFInfo
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- KR20160006281A KR20160006281A KR1020140084941A KR20140084941A KR20160006281A KR 20160006281 A KR20160006281 A KR 20160006281A KR 1020140084941 A KR1020140084941 A KR 1020140084941A KR 20140084941 A KR20140084941 A KR 20140084941A KR 20160006281 A KR20160006281 A KR 20160006281A
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Abstract
The present invention relates to a monitoring method and system capable of accurately monitoring and diagnosing a state of a target mechanical system in various use environments by appropriately classifying signals measured in a target system operated under complex operating conditions according to operating conditions. According to an embodiment of the present invention, there is provided a method of monitoring a target system, the method comprising: classifying a signal measured by the target system into an analysis value and a frequency for an n-dimensional (n? And verifying the behavior of the target system by expressing the analysis value and the frequency of the signal measured in the target system on an n-dimensional (n? 3 integer) parameter using a bubble chart .
Description
The present invention relates to a method and system for monitoring a mechanical system, for example, for performing a predetermined purpose, and more particularly to a method and system for monitoring a mechanical system, And more particularly, to a monitoring method and system capable of accurately monitoring and diagnosing a state of a target system in various use environments.
In general, mechanical systems such as wind turbines operate under complex operating conditions.
Accordingly, in the case of a wind turbine, which is an example of a mechanical system, it is necessary to classify the measurement (measurement) signal simultaneously considering the rotational speed of the driving system, external wind speed,
Conventionally, in the case of a wind turbine generator, most of the power generation power is considered in order to monitor the driving condition of the wind turbine generator, so that a signal that is measured (measured) by a large factor of the external wind speed is sometimes misdiagnosed as a failure.
In order to prevent the above-described false diagnosis and improve the reliability of the diagnosis, multidimensional signal monitoring capable of simultaneously considering various operating states and building a database therefor are required.
The types of the target system and the parameters related to the measurement signal or the measurement signal according to the multidimensional operation state may be as follows.
First, the parameters affecting the behavior of the gear box and the bearing of the wind turbine as described above include rotor speed, external wind speed and generated power; Second, the number of revolutions, radial load (acceleration) and axial load (acceleration) of the hub bearings of automobiles and railway cars; Third, there are rotor revolutions of large generators (thermal and nuclear), steam temperature / pressure and generated power; Fourth, there may be the number of revolutions and the radial load (acceleration) of the rolling mill.
In such a target system, it is an important issue to improve the accuracy of the diagnosis of the driveline system in which a relatively large number of current status monitoring devices are attached.
In the above-described object system, in the conventional embodiment, once the parameter for the operation condition is selected, a knowledge database is first constructed as an expert system for diagnosis in general.
That is, a signal for the operating state of the target system in a healthy state without a failure is measured, and a database is constructed for a parameter selected as a physical quantity having a physical meaning.
However, according to the existing signal classification method, since the measurement signal value is classified based on the one-dimensional parameter, it is often difficult to accurately identify the monitoring stability and the cause of the diagnosis.
For example, in the case of a conventional wind turbine, the root-mean-square (RMS) value of the vibration signal of the drivetrain measured for monitoring the condition of the gear teeth and the bearing is divided by a predetermined stage . However, in this case, when the external wind speed suddenly becomes high or a gust of wind blows locally, but the generated power is not high, a relatively large value is measured in the monitoring device, which can be mistaken for the damage to the target system.
If this false diagnosis is repeated, the operator may doubt the reliability of the monitoring system itself, and in a severe case, the diagnosis result may be ignored.
If users, operators and administrators disbelieve about the monitoring system, they may not be prepared even if the actual target system fails, or the monitoring system may be turned off and not used.
Therefore, it is important to maximize the reliability of the diagnosis of the monitoring system.
SUMMARY OF THE INVENTION Accordingly, it is an object of the present invention to provide a monitoring method and system capable of accurately diagnosing a fault by monitoring the state of a target system (e.g., a wind turbine generator, etc.) in various use environments.
Another problem to be solved by the present invention is to analyze a signal waveform in a healthy state measured in a target system, to build a database by classifying the operating state of the target system in a multidimensional space, And to provide a monitoring method and system capable of selecting a judgment criterion.
Another problem to be solved by the present invention is to present a signal waveform analysis value and a distribution in a space in the case of a multidimensional (e.g., three-dimensional) operation parameter, And a method of upgrading a database to provide a precise selection of a reference value for diagnosis and a monitoring method and system that can accurately diagnose the diagnosis based on the selection.
According to an aspect of the present invention, there is provided a method of monitoring a target system, the method comprising: classifying signals measured by the target system into analysis values and frequency of n-dimensional parameters ; And verifying the behavior of the target system by expressing the analysis value and the frequency of the signal measured in the target system on an n-dimensional (n? 3 integer) parameter using a bubble chart .
Expressing the analysis value and frequency in a three-dimensional bubble chart with a multi-layered two-dimensional bubble chart or a three-dimensional surface color chart; Forming a two-dimensional bubble chart or a three-dimensional surface color chart by shortening an operation parameter less than a set value in the three-dimensional bubble chart to a set value; And N (N > = 3 integers) reference planes, and reducing the analysis values and frequencies to at least one parameter.
Constructing the database by classifying the analyzed value and the frequency of the measured signal for the first set period in the steady state condition with the n-dimensional (n? 3 integer) parameter; Setting an alarm or alarm signal value of n-dimensional (n? 3 integer) classification type requiring warning or alarm based on data of the database classified and constructed during the set period in the steady state condition; And diagnosing the target system by comparing the currently measured signal with the warning or alarm signal value.
Constructing the database by classifying the analyzed values and frequencies of the measured signals for the second set period in the steady state condition with the n dimension (n? 3 integer) parameters; And comparing the database established during the first setting period with the database constructed during the second setting period to generate a warning when the magnitude or rate of change of the analysis value established in each database exceeds the set size .
According to another aspect of the present invention, there is provided a system for monitoring a target system, comprising: a sensor for measuring a behavior signal of the target system; A database configured to classify signals in the normal and abnormal states of the target system; An inference engine for analyzing a signal measured based on the data of the database to determine a normal or abnormal signal; A description module for describing the result of the inference engine; And a database building module for building the database, wherein the database building module is operable by a set of programs for performing a signal monitoring method of a target system according to an embodiment of the present invention.
As described above, according to the embodiment of the present invention, signals measured in a target system operated under complex operating conditions are appropriately classified according to various operating conditions and converted into a database, thereby monitoring measurement (measurement) You can accurately monitor and diagnose the status of the target system in your environment.
1 is a block diagram showing a monitoring system of a target system according to an embodiment of the present invention.
2 is a flowchart of a method of monitoring a target system according to an embodiment of the present invention.
FIGS. 3 to 9 are graphs for explaining the operation of the monitoring method and system of the target system according to the embodiment of the present invention.
10 is a schematic block diagram of a signal measurement and diagnosis system to which a monitoring method and system according to an embodiment of the present invention can be applied.
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention. However, the present invention is not limited to the embodiments described herein but may be embodied in other forms.
Throughout the specification, when a section includes a constituent element, it is understood that it can include other constituent elements, not excluding other constituent elements unless specifically stated otherwise. Like numbers refer to like elements throughout the specification.
1 is a block diagram schematically illustrating a signal monitoring system of a target system according to an embodiment of the present invention.
A signal monitoring system of a target system according to an embodiment of the present invention includes a
The
In addition, the
Although not shown in FIG. 1, the analog /
The
The
The
The
The
In particular, for example, in the case of a three-dimensional operation parameter, the
In addition, the
Hereinafter, a monitoring method of a target system according to an embodiment of the present invention will be described in detail with reference to the accompanying drawings.
2 is a flowchart illustrating a method of monitoring a target system according to an embodiment of the present invention.
Referring to FIG. 2, the
In the embodiment of the present invention, the
The
The trend analysis reference value Tref and the trend change rate reference value Tvref set in S114 are used to calculate the tendency Tr of the measurement signal value and the tendency change rate Tv performed in S122.
The
If the multivariate current measurement signal analysis value Cv is greater than the warning signal value Wv or the alarm signal value Av as a result of the diagnosis, a warning or alarm report is generated at step S132. The current measured signal Cv may be defined as a multi-dimensional current measurement signal analysis value.
The multidimensional current measurement signal analysis value Cv that is diagnosed may be only the analysis value within the set time range as shown in S101, for example.
In addition to the first setting period, the
When the
The
The
As shown in the graph of Fig. 3, for example, the
The
The
The
The
The
In addition, the
The
While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, It belongs to the scope of right.
10: Target system 100: Analog / digital (A / D) converter
200: pre-signal processing device 700: monitoring system
710: Sensor (s) 720: Database building module
730: Database 740: Inference Engine
750: Description module
Claims (6)
Classifying the signals measured by the target system into an analysis value and frequency for an n-dimensional (n? 3 integer) parameter and converting the signal into a database; And
(B) confirming the behavior of the target system by expressing the analysis value and the frequency of the signal measured in the target system on an n-dimensional (n? 3 integer) parameter using a bubble chart;
≪ / RTI >
Expressing the analysis value and the frequency with a three-dimensional bubble chart or a two-dimensional bubble chart or a three-dimensional surface color chart;
Forming a two-dimensional bubble chart or a three-dimensional surface color chart by shortening an operation parameter less than a set value in the three-dimensional bubble chart to a set value;
Superimposing the analysis values and frequencies on N (N > = 3 integers) reference planes and reducing them to at least one parameter;
≪ / RTI >
Constructing the database by classifying the analyzed value and the frequency of the measured signal for the first set period in the steady state condition with the n-dimensional (n? 3 integer) parameter;
Setting an alarm or alarm signal value of n-dimensional (n? 3 integer) classification type requiring warning or alarm based on data of the database classified and constructed during the set period in the steady state condition;
Diagnosing the target system by comparing the currently measured signal with the warning or alarm signal value;
≪ / RTI >
Constructing the database by classifying the analyzed values and frequencies of the measured signals for the second set period in the steady state condition with the n dimension (n? 3 integer) parameters;
Comparing the database constructed during the first setting period with the database constructed during the second setting period, and generating attention when the magnitude or rate of change of the analytic value built in each database is out of the set size;
≪ / RTI >
A sensor for measuring a behavior signal of the target system;
A database configured to classify signals in the normal and abnormal states of the target system;
And a database building module for building the database,
Wherein the database building module is operated by a set program for performing the method of any one of claims 1 to 4.
An inference engine for analyzing a signal measured based on the data of the database to determine a normal or abnormal signal; And
A description module for describing the result of the inference engine;
Further comprising:
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KR1020140084941A KR101616072B1 (en) | 2014-07-08 | 2014-07-08 | Monitoring method and system |
PCT/KR2014/006139 WO2015005663A1 (en) | 2013-07-10 | 2014-07-09 | Signal measurement diagnosis monitoring system and method therefor, and method and system for applying same to individual device |
US14/897,006 US10281909B2 (en) | 2013-07-10 | 2014-07-09 | Signal measuring/diagnosing system, and method for applying the same to individual devices |
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KR1020140084941A KR101616072B1 (en) | 2014-07-08 | 2014-07-08 | Monitoring method and system |
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Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH10273920A (en) * | 1997-03-31 | 1998-10-13 | Komatsu Ltd | Abnormality monitoring method for machine |
KR100522342B1 (en) | 2000-07-04 | 2005-10-19 | 아사히 가세이 엔지니어링 가부시키가이샤 | System for diagnosing facility apparatus, managing apparatus and diagnostic apparatus |
JP5484591B2 (en) * | 2010-12-02 | 2014-05-07 | 株式会社日立製作所 | PLANT DIAGNOSIS DEVICE AND PLANT DIAGNOSIS METHOD |
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Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPH10273920A (en) * | 1997-03-31 | 1998-10-13 | Komatsu Ltd | Abnormality monitoring method for machine |
KR100522342B1 (en) | 2000-07-04 | 2005-10-19 | 아사히 가세이 엔지니어링 가부시키가이샤 | System for diagnosing facility apparatus, managing apparatus and diagnostic apparatus |
JP5484591B2 (en) * | 2010-12-02 | 2014-05-07 | 株式会社日立製作所 | PLANT DIAGNOSIS DEVICE AND PLANT DIAGNOSIS METHOD |
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