JPH0755868A - Diagnostic system for apparatus/installation - Google Patents

Abstract

PURPOSE:To provide the diagnostic system an apparatus/installation, which can instruct even an inexperienced operator on a measuring method at a periodical inspection and by which measured data can be checked and comprehensively judged quickly even by operators other than an expert. CONSTITUTION:This system is provided with an input device 20 which inputs data, with an output device 12 by which an instruction to an operator and a processed result are displayed and with a computer 2 to which the devices are connected and which collects and diagnoses data for 3 diagnosis. The computer 2 instructs, via the output device 12, the operator on an item to be inspected and a technique. In addition, it estimates a remaining life on the basis of input data. In addition, it reports the state of an apparatus/an installation including the remaining life via the output device 12.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a diagnostic system suitable for preventive maintenance of equipment / equipment, and particularly suitable for large electric equipment such as rotating machines, which estimates remaining life by insulation diagnosis and performs periodical maintenance. The present invention relates to a diagnostic system that can support comprehensive judgment of quick insulation evaluation during inspection.

[0002]

2. Description of the Related Art Conventional preventive maintenance or maintenance inspections for equipment and facilities such as plants and electric equipment are based on the measured values at the site, and the standard values by experts at factories, maintenance inspection central centers, etc. The remaining life, the cause of failure, etc. were determined based on the comparison and the experience and intuition.

However, since it is necessary to refer to a huge amount of data, it takes a long time to make a decision, and no one other than an expert can give an instruction to make a decision.

Therefore, in recent years, as described in Japanese Unexamined Patent Publication No. 62-285200, a maintenance / inspection device having a storage device and an input / output terminal is brought into the field, and a host computer in a factory or a central center for maintenance / inspection is connected by a communication line. The measured value is sent to the host computer, data processing is performed by the information processing determination device in the host computer, the obtained determination result is loaded into the local maintenance inspection device, and the system for displaying or instructing reduces the maintenance inspection time. Along with the measures, methods have been proposed to allow maintenance management by non-specialists.

[0005]

However, in the above-mentioned conventional technique, the local maintenance and inspection device cannot make any judgment unless it is connected to the host computer through the communication line. Therefore, when used in an area where communication lines do not exist, there is a problem in that nothing can be reported locally that requires inferences such as whether or not there is an abnormality in measured values and estimation of remaining life.

In such a case, it may be considered that the data is brought back by inputting it into the storage device and processed by the host computer. However, if the data is brought back and processed, and based on the result, the site is visited again and necessary maintenance and repairs are performed, it takes a lot of time and labor for the maintenance and inspection work, resulting in poor efficiency. There was a problem. Moreover, depending on the condition of the target, even if it is necessary to immediately stop operation and use and perform repair,
There was a problem that the response would be delayed.

Further, regarding the maintenance and inspection work by the host computer, regarding the condition diagnosis of the relevant equipment / equipment, the necessity of repair and the necessity of parts replacement, in the conventional technique, comparison with past records and comparison with a reference value are carried out. By making a comparison,
We are analyzing the data.

However, like the remaining life of equipment / equipment,
Regarding the matters for which the diagnosis method is not always established, it remains unsolved in the conventional maintenance inspection device,
No means for that is disclosed.

Prediction of such a remaining life is necessary in order to set the operation plan of the equipment / equipment, examine the update timing, and the like. In particular, it is absolutely necessary to predict the remaining life of a large electric device, which has a great influence on its characteristics regardless of whether it is a rotating machine or a stationary machine, and which may cause a serious accident.

Also, depending on the type of equipment / equipment, it is not easy to stop and start the operation, and there are some that cannot be inspected frequently. For such equipment, it is considered preferable to know the remaining life at the time of regular inspection. Therefore, development of means for this is desired.

Furthermore, depending on the type of equipment / equipment, inspection and data collection for inspection are carried out locally.
It may be required to make a tentative conclusion on the spot whether the equipment can be used or the equipment can be operated.

[0012] For example, in a power station in a mountainous area, when inspecting a generator, whether or not the operation can be restarted is brought back to the host computer, analyzed, and analyzed. After the conclusion is reached, the operation will be restarted accordingly. Therefore, during that time, the operation of the generator must be stopped, and at a later date,
There are problems such as the need to dispatch personnel for work to restart operation.

On the other hand, if the operation is restarted before the conclusion is reached, the restart of the operation may lead to the occurrence of an accident when the conclusion is "inadequate operation". Therefore, this is difficult to adopt from the viewpoint of safety.

However, in the above-mentioned conventional technique, the terminal device merely collects data, and as described above,
It was not possible to respond to a tentative conclusion on the spot.

On the other hand, it is also conceivable to use the maintenance and inspection device online. However, even in this case, it is not always possible to perform processing in a short time because it takes time to connect to a communication line, to process on the host side, and to receive a processing result. Moreover, considering the connection with the communication line, it may be difficult to arrange the maintenance / inspection device at an arbitrary place, for example, in the vicinity of the inspection target. In this case,
Online benefits are lost.

In addition to this, some devices / equipment perform various measurements, and it is necessary to assemble a measurement circuit for that purpose on site. Moreover, it is necessary to perform the measurement correctly. However, this is not always easy, and if an unskilled person makes a measurement, there is a problem that an error occurs in the measurement or necessary data cannot be collected. Therefore, conventionally, a skilled person performed the measurement while referring to a manual or the like.

However, it is difficult to secure skilled persons, and it is not easy for even skilled persons to eliminate measurement errors. Therefore, one of the challenges is to perform the measurement as accurately as possible and improve the reliability of diagnosis.

The object of the present invention is to
Equipment / equipment that can perform necessary inspections and measurements on site, and can make a temporary diagnosis on the spot whether or not it can be operated, and indicate whether it is appropriate to restart the equipment or restart the equipment. To provide a diagnostic system for.

Another object of the present invention is to provide an equipment / equipment diagnostic system capable of predicting the remaining life of equipment / equipment.

Still another object of the present invention is to display the procedure of inspection and measurement, the instruction of the measurement circuit, the abnormality of the measured value, etc. to the operator at the time of diagnosing the equipment / equipment so that not only the expert but also the expert It is an object of the present invention to provide a diagnostic system for equipment / equipment that enables highly reliable diagnosis by enabling accurate and easy inspection / measurement even by a non-person.

[0021]

In order to achieve the above object, according to one aspect of the present invention, an input device for inputting data, an output device for displaying an instruction to an operator and a processing result, and these devices are provided. In a diagnostic system for equipment / equipment, which is connected to a computer for collecting and diagnosing data for diagnosis, the computer has a function of teaching to an operator items and methods to be inspected through an output device. A measurement support means, a remaining life estimation means for estimating a remaining life based on the input data, and a status reporting means for reporting the status of the equipment / equipment including the remaining life via an output device. An apparatus / facility diagnostic system is provided.

In order to achieve the above object, according to another aspect of the present invention, based on a terminal device that collects data on a device (equipment) to be inspected (diagnosis) and data collected by the terminal device, There is provided a diagnostic system including a host device that diagnoses the device or equipment to be inspected.

The terminal device has a data check function of comparing the input data with a preset reference value to determine whether the input data is abnormal, and treating the data as a normal value when the abnormality continues for a preset number of times. It is preferable to provide support means.

Further, it is preferable that the terminal device is provided with a measurement support means having a function of teaching an operator about data collection from a target.

Further, it is preferable that the terminal device has a function of inferring the remaining life of the inspection target based on the relational expression for estimating the remaining life and the collected data.

Further, the present invention comprises a terminal device for collecting data on a device or facility to be inspected, and a host device for diagnosing the device or facility to be inspected based on the data collected by the terminal device. Including, the terminal device, based on a relational expression for estimating the obtained data and remaining life, means for supporting the collection of data,
Means for inferring the remaining life of the inspection target, the host device generates a relational expression for estimating the remaining life from the detailed information on the inspection target, and collects the relational expression and the terminal device. The terminal device and the host device have means for inferring the remaining life of the object based on the received data, and means for exchanging data between the terminal device and the host device.

The diagnostic terminal device used in the system has an input device for inputting data, a storage device having a removable storage medium, and an output device for displaying instructions to an operator and processing results, and It is preferable that the operator is provided with a function of determining whether or not there is an abnormality in the input data and a function of estimating the remaining life based on the input data, as well as teaching the operator what items and methods to inspect.

The diagnostic system of the present invention uses a database having inspection information accumulated for each inspection, model part data obtained by analyzing the life of model parts, and replacement part data which is test data for replacement parts. Retrieving non-destructive test data for the object, obtaining an empirical formula showing the correlation of the residual destructive value with respect to the non-destructive test data, and searching the operation history data for the inspection object from the database, the operation history data The empirical formula showing the correlation of the residual fracture value with respect to is obtained, and the data obtained at the time of inspection are input to the corresponding empirical formulas,
The residual breakdown value is obtained for each, and the remaining life is obtained from the correlation between the previously obtained residual breakdown value and the change over time, so that diagnosis is performed.

A typical embodiment of the present invention is an insulation diagnosis system for electric equipment, which has a function of checking at least the presence or absence of an abnormality in input data at the site, and the obtained measurement data to give a remaining life given in advance. Applying to the estimation formula,
It is configured to include a terminal device that estimates the remaining life and reports the situation including the remaining life, and a host device that infers the remaining life and deterioration factors based on the obtained experimental data and performs a comprehensive evaluation. .

[0030]

The present invention mainly includes a terminal device that collects data on a device or facility to be inspected and a host device that diagnoses the device or facility to be inspected based on the data collected by the terminal device. Composed as an element. With such a configuration, a database having a large amount of data can be provided on the host device side, and precise diagnosis can be performed on the host device side. The terminal device does not have to have a database with a large amount of data,
Since a large amount of high-speed calculation based on the data in this database is not required, the device can be constructed in a small scale. Therefore,
The terminal device can be portable or can be configured using a portable general-purpose computer.

Further, by providing a means for exchanging data between the terminal device and the host device, data necessary for the operation of the terminal device can be transferred from the host device.
On the other hand, the data collected in the terminal device can be supplied to the host device.

In this case, data can be exchanged using a removable storage medium. As a result, it becomes possible to easily collect data even for inspection targets in areas where communication conditions are poor.

In the present invention, the terminal device can be provided with the measurement support means. This means how to collect data
When the operator has a function of teaching, even an unskilled person can collect data in the same manner as an expert person. Therefore, the reliability of the obtained data is increased and the reliability of the subsequent diagnosis is also improved.

When the measurement support is provided with a measurement data check function, it is possible to distinguish whether the obtained data is an abnormality due to a bad measurement method or an original abnormality. The reliability of can be improved.

By providing the terminal device with the remaining life calculation and inference functions, the terminal device side can obtain a tentative conclusion and report the situation based on the conclusion. This is suitable when the diagnosis cannot be obtained from the host side using the communication line and the result cannot be output.

That is, after the inspection, it is easy to decide whether to restart the operation or restart the use of the device, and it is possible to restart the operation and use without fear of falling into a dangerous state. If there is a risk, the host Accidents can be prevented by suspending restart until a precise remaining life estimation in the device is made.

Further, in the present invention, when the remaining life is estimated, the remaining life is obtained from different viewpoints by calculating the remaining life from the nondestructive test data and the operation history data, so that the reliability of the remaining life is high. Become. in this case,
These data are preferably replenished with new ones.

Further, the present invention is provided with the deterioration factor inference function, so that the reliability of the estimation of the remaining life is improved by referring to the deterioration data of similar parts and making an inference.

[0039]

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of the present invention will be described below with reference to the drawings.

FIG. 1 shows a block diagram of an insulation diagnosis system in which a high-voltage rotating machine is a target device.

The system shown in FIG. 1 has a host device 1 installed in a factory or the like and a portable terminal device 2 used on site as main components.

The host device 1 is a computer capable of high-speed and large-capacity data processing, and has an internal function of
Inference unit 5, database 11, knowledge base editor 24
And an interface 28. It goes without saying that these are realized by computer hardware and software.

The interface 28 includes, as external devices, an input device 21 for inputting data and instructions, a floppy disk device 87 which is an example of a storage device, and an output device 19 for displaying and outputting processing results, messages and the like. Are connected. Further, a communication device (not shown) that communicates with the terminal device 2 via the communication line 23 is connected as necessary.

On the other hand, the inference unit 5 in the host device 1 includes a non-destructive measurement support 7, a visual inspection result judgment 8, a remaining life calculation 9,
Each inference function of the remaining life estimation 15 and the deterioration factor inference 14 is prepared. Each of these is supplied in the form of a program. For example, one or more of these inference functions can be supplied in the state of being stored in a storage medium. The details of each inference function will be described later.

The non-destructive measurement support 7 and the visual inspection result determination 8 in the inference unit 5 can be omitted if data is not directly input to the host device 1.

The database 11 stores model coil data 16, rewound coil data 17, and actual machine data 18.

The model coil data 16 is data obtained by previously analyzing various types of coils, for example, model, wire diameter, curvature, insulation, use condition, and the like. The rewound coil data 17 is data obtained by performing various measurements, analyzes and the like on the coil that has been actually rewound and removed. In addition, the actual machine data 18
Is a collection of inspection information 3 obtained at the time of inspection of the device to be diagnosed, which is saved every time from the past to the present, and all devices targeted by the diagnostic system. Is the data. It is preferable that the model coil data 16 and the rewound coil data 17 be supplemented with new data.

These data are classified so that they can be searched from various points of view such as model, coil form, insulation class, and age. Retrieval of these data is performed by each unit of the inference unit as needed.

The input device 21 is composed of, for example, a keyboard and a mouse.

With the floppy disk device 87 or in place of it, one or more other types of storage devices can be used. The medium used for these should be a removable storage medium in the relationship of exchanging data with the terminal device 2. For example, a magneto-optical disk, an optical disk, a magnetic tape, an IC card, an optical card and the like can be mentioned.

One of the main uses of the removable storage medium such as the floppy disk is to extract and convey inspection information 3 described later. In addition, the contents of the database 11 or 6 and a part of the contents of the inference unit 5 or 4 can be used for porting. Of course, the diagnosis result can be stored.

The output device 19 is preferably a display device having a display capable of color display. As the display medium, CRT, plasma, liquid crystal, electroluminescence or the like can be used. It may be a monochrome display.

The terminal device 2 is a computer device which is not large in capacity but is small and lightweight and can be easily carried around. For example, a laptop computer can be used. The terminal device 2 has an inference unit 4, a database 6 and an interface 29 as internal functions. It goes without saying that these are realized by computer hardware and software.

The interface 29 includes, as external devices, an input device 20 for inputting data, instructions and the like, a floppy disk device 13 as an example of a storage device, and an output device 12 for displaying and outputting processing results, messages and the like. Are connected. Further, a communication device (not shown) that communicates with the host device 1 via the communication line 23 is connected as necessary.

On the other hand, the inference unit 4 in the terminal device 2 is provided with inference functions of non-destructive measurement support 7, visual inspection result determination 8, remaining life calculation 9 and remaining life estimation 10. Each of these is supplied in the form of a program. For example, one or more of these inference functions can be supplied in the state of being stored in a storage medium. The details of each inference function will be described later.

The database 6 includes inspection information 3 (actual machine data 1 of the host device 1) up to the last time of the rotating machine to be tested.
8) is stored. This data is
It is received from the host device 1 via the storage medium. This inspection information 3 preferably has as much information as possible, but at least the data up to the previous time is required.

The inspection information from the past to the previous inspection is graphed in time series together with the inspection information of this time, and is used to show the temporal change of the inspection information. The non-destructive measurement support described later determines whether or not there is an abnormality in the measurement data based on the magnitude of the deviation from the extension line of this temporal change.

The floppy disk device 13 and the output device 12 have the same functions as those connected to the host device 1 described above. Therefore, description thereof will not be repeated here. However, considering that it is a portable computer, a computer suitable for this is used. For example, the output device 12 includes a plasma display, a liquid crystal display, and a panel type display.
An electroluminescence display or the like is preferably used.

The input device 20 preferably has a keyboard 22 and can also be connected to an automatic measuring device 25 via a signal line 26.

Data can be exchanged between the host device 1 and the terminal device 2 by communication. In this case, as the signal line 26, an optical signal transmission cable can be preferably used in addition to a normal signal transmission cable. Of course, as long as data can be sent and received, the medium is not limited to these, and another medium may be used.

Next, the operation of this embodiment will be described.

In this embodiment, detailed related information regarding the rotating machine subject to maintenance and inspection is stored in the database 11 of the host device 1 installed in a factory or the like. Of which
The inspection information 3 up to the previous time of the maintenance inspection target machine is extracted to a floppy disk (not shown) using a floppy disk device 87 which is an example of a removable storage device, and is extracted from the floppy disk device 13 of the local terminal device 2. It is stored in the database 6. Note that, as described above, the extraction and transfer of the inspection information 3 is not limited to the floppy disk device, and any external storage device such as an IC card, a magneto-optical disk, or an optical disk may be used.

In the field, the insulation diagnosis system of the rotating machine is started by the terminal device 2, the specifications of the maintenance inspection target machine and the measurement data are input by the input device 20 and stored in the memory forming the database 6.

Next, the inference unit 4 executes the processing of each item of non-destructive measurement support 7, visual inspection result judgment 8, remaining life calculation 9 and remaining life estimation 10, and the non-destructive measurement is displayed on the display screen of the output device 12. Report the status of destructive test data and the presence of abnormalities, visual inspection results and countermeasures based on their judgment, and remaining life value.

At the time of executing each inference, not only the final result is output and displayed, but also an intermediate result of diagnosis or judgment in each inference process is sequentially shown to the operator, and the operator is instructed on a concrete coping method. This will be described later.

On the other hand, in the host computer 1 of the factory, various measurement data of the maintenance and inspection target machine brought back from the site is input from the input device 21 by the periodic inspection or the like, and the database 11
Store inside. In this case, it is preferable to store the inference result as well.

The inference unit 5 calculates the remaining life 9 and the remaining life estimation 1
5 and deterioration factor inference 14 are executed. The difference from the inference unit 4 of the terminal device 2 is that a deterioration factor inference 14 is added and the nondestructive measurement support 7 and the visual result determination 8 are omitted in addition to the case of inputting measurement data without going through the terminal device. There is something you can do.

The difference in function between the terminal device and the host device is not inevitable, and both may have a common function.

The deterioration factor inference 14 is based on the database 1
1 model coil data 16, rewound coil data 17,
The similar coil data of the maintenance inspection target machine is selected from the actual machine data 18, compared with the measured value in this regular inspection, the deterioration factor is inferred, and the renewal necessity is determined together with the estimated remaining life value. .

The terminal device 2 is displayed on the display screen of the output device 19.
In addition to the result output in step 1, the necessity of rewinding and the cause of deterioration are displayed, and a comprehensive report for periodic inspections is made.

In the input device 20 of the terminal device 2, as shown in FIG. 2, manual input by the keyboard 22 and automatic input from the automatic measuring device 25 through the signal line 26 are possible. Data can be exchanged between the terminal device 2 and the host device 1 through the communication line 23, and the inspection information 3 up to the last time of the maintenance / inspection target device can be input to the terminal device 2 through the communication line 23. is there. On the other hand, it is possible to input the measurement data of the current inspection input to the terminal device 2 to the host device 1 through the communication line 23.

Further, the host device 1 has the knowledge base editor 24, and the contents of the knowledge base of the inference unit 5 can be rewritten based on the latest data, and the knowledge base is automatically updated by the latest input data. Can be rewritten as

Next, regarding an example of the nondestructive measurement support 7,
This will be described with reference to FIG. The nondestructive measurement support 7 has a function of determining whether or not there is an abnormality in the measurement data and a function of instructing the measurement method.

The nondestructive test data, which is the measured value, is checked for abnormalities due to external noise or abnormalities due to wrong measurement methods by the procedure shown in FIG.

That is, when the measurement value and the number of times of measurement are input from the input device 20 (block 27a), the inference unit 27 compares the reference value or the pattern (block 27).
b), normal or abnormal is determined. At this time, the number of times of measurement is also referred to (block 27d), and, for example, for an abnormality up to two times, it is instructed to perform remeasurement (block 27e). However, for the measurement of three times or more, the following inference processing is performed assuming that the comment is normal (for example, larger than the reference value or the pattern is different) (block 27c). In this example, normality / abnormality is determined by re-measurement up to three times. Of course, the present invention is not limited to this number of times, but according to the experience of the inventor,
Times are considered sufficient.

Next, an example of checking the test data will be described with reference to FIGS.

Taking the rotating machine which is the object of diagnosis of this embodiment as an example, regarding the data correctness determination and evaluation of the nondestructive measurement support 7, the measurement items are insulation resistance (R), polarization index (PI),
Dielectric loss tangent (tan δ ₀ ), Dielectric loss tangent change rate (Δtan δ ₂ ), 1st
13 to 19 for the current sudden increase point (Pi ₁ ), the second current sudden increase point (Pi ₂ ), the AC current increase rate (ΔI), the tendency of the dielectric loss tangent-voltage characteristic, and the maximum discharge charge (Qmax). It demonstrates using. The presence / absence of data abnormality is determined by the magnitude of the measured value and the pattern of the measured value.

FIG. 13 shows a flow chart of data check of insulation resistance (R).

The input data 125 is R ≦ aM in the size judgment.
The determination is made in three cases of Ω, aMΩ <R <bMΩ, and R ≧ bMΩ (step 126).

In the case of aMΩ <R <bMΩ, it is judged and displayed that “no abnormality in measured value”, and it is evaluated to be within the range of normal aging deterioration (step 127).

On the other hand, when R ≧ bMΩ, “Measurement value abnormality wiring check” is judged and displayed (step 12).
8). Here, the operator checks the wiring of the measurement circuit, and if there is an abnormality, re-measures after rewiring (step 129) and re-inputs data. In addition, the wiring is checked, and if there is no abnormality, "no wiring abnormality" is input (step 130), and "no measurement value abnormality" is determined (step 127).

Further, in the case of R ≦ aMΩ, “Measurement value abnormality Re-measurement after cleaning with possibility of coil end contamination” is displayed (step 131).

FIG. 14 shows a flow chart of the data check of the polarization index (PI).

The input data 132 is PI.ltoreq.PI.ltoreq.
Three distinctions are made: d, d <PI <c, PI ≧ c (step 133).

When d <PI <c, "No measurement value abnormality" is displayed (step 134).

If PI ≦ d, it is determined that there is an abnormal measurement value, and it is considered that there is a possibility that moisture is being absorbed.
“Remeasurement after drying” is displayed (step 136). When PI ≧ c, it is determined that there is an abnormal measurement value,
It is displayed as "contact failure between coil in core and core in slot, remeasurement after inspection in slot" (step 135).

FIG. 15 shows a flow chart of data check of dielectric loss tangent (tan δ ₀ ).

The input data 137 is tan δ _{0 by the} size judgment.
There are three types of distinction: ≦ g, g <tanδ ₀ <f, tanδ ₀ ≧ f (step 138).

When g <tan δ ₀ <f, "no abnormal measurement value" is displayed (step 139). On the other hand, tan δ ₀ ≤
In the case of g, it is judged that there is an abnormality in the measured value, and "re-measurement after circuit check" is instructed (step 140). Also, t
If anδ ₀ ≧ f, it is determined whether the measured temperature (T) is high or low (step 141). As a result, when T ≧ T1 ° C., “remeasurement after cooling” is instructed (step 14
2).

When T <T1 ° C., it is determined whether the humidity is high or low (step 143). As a result, if the humidity is more than S%, the instruction of "possibility of moisture absorption on the coil end surface, re-measurement after drying" is instructed (step 144). Also, humidity <S
In the case of%, it is determined that the measured value is abnormal, and “there is a possibility of abnormal discharge, remeasurement after wiring check” is instructed (step 1
45).

Next, FIG. 16 shows a flow chart of data evaluation of the tendency of the dielectric loss tangent-voltage characteristic.

The input data 146 is displayed by being classified into "no abnormal measurement value" and "possible abnormal discharge due to moisture absorption" depending on the pattern shape, for example, a positive curve or a negative curve (step 147). ~ 149).

Next, FIG. 17 shows the dielectric loss tangent change rate (Δtan
A flow chart for data evaluation of δ ₂ ) is shown.

The input data 150 is discriminated into _two types according to the size judgment (step 151), and when Δtan δ ₂ <e, it is displayed as “No measurement value abnormality” (step 152),
If Δtan δ ₂ ≧ e, it is displayed that “the possibility of aging is high” (step 153).

Next, FIG. 18 shows a flowchart of data evaluation of the current increase rate ΔI.

The input data 154 is 2 when the magnitude of ΔI is judged.
Are distinguished as follows (step 155), and in the case of ΔI <K, “No measurement value abnormality” is displayed (step 156),
If ΔI ≧ K, “possible aging” is displayed (step 157).

Next, FIG. 19 shows a flow chart of the data check of the maximum discharge charge (Qmax).

As input data 158, Q ₀ (discharged charge amount at ₀ KV), Q ₂ (discharged charge amount at 2 KV)
And Q ₃ (discharged charge amount at ₃ KV) and Qmax are
Input at the same time. By comparing Qmax with Q ₀ , Q ₂ and Q ₃ (step 159), they are first distinguished. Q ₀ , Q
_{If 2} , Q ₃ > (Qmax / α), it is judged that the measured value is abnormal, and "high noise level, remeasurement" is instructed (step 160). When Q ₀ , Q ₂ , Q ₃ ≤ (Qmax / α),
Further, Q ₂ and Q ₃ are compared (step 161), and Q ₂ <
In the case of Q ₃ are instructed to "noise level voltage characteristic chromatic remeasurement" (step 162), in the case of Q ₂ ≧ Q ₃ are displays "measurement abnormality No" (step 163).

In addition, the first current sudden increase point (Pi ₁ ) and the second current sudden increase point (Pi ₂ ) are also judged and displayed as abnormal or normal depending on the magnitude of the value.

If the above measured values are abnormal, re-measurement instructions are given up to three times as described above. After that, the measurement operates as normal.

After the above-mentioned measurement data check is completed, the system of this embodiment displays the input measurement data as a list by the output device 12 (19 in the host device) as shown in FIG. 20, for example. Of course, the numerical values shown in the figure are merely examples, and may be various values depending on the measurement and the object.

The measurement data can be directly input without using the above-mentioned measurement support 7. In that case, as shown in the figure, the number and value of the item to be input may be input by the input device 20 (21 in the host device 1).

As described above, the nondestructive measurement support 7 of this embodiment also has a function of instructing the measurement method and the like. This function will be described by taking tan δ measurement as an example. Figure 2
2 is an example of an image displayed by the output device 12 (19 in the host device 1).

In the figure, the measurement circuit for tan δ and the precautions for measurement are shown. The operator can assemble the measurement circuit while referring to this screen, and since there is a caution that the wiring should be a shield line, for example, an error can be taken into consideration. Even if you are not an expert
It is possible to reliably perform measurement with as little error as an expert.
This also leads to a reduction in the deviation of the measurement data by the operator, and is preferable because high accuracy can be expected when estimating the remaining life etc. by using the accumulation of past measurement values.

Further, the nondestructive measurement support 7 of this embodiment has a function of displaying a standard pattern of what kind of pattern the tan δ will be, for example, as shown in FIG. is doing.

Further, when the measurement is completed according to the measurement flowchart, the measurement result pattern of tan δ is shown in FIG.
Is displayed at the same time, and at the same time, a comment for deterioration estimated from the tan δ measurement result is displayed. Note that other parameters are displayed in the same manner.

Next, the visual inspection result determination 8 will be described. In the visual inspection, the operator visually inspects each part of the machine to be inspected to determine whether there is any abnormality,
This is done by entering the data. conventionally,
While the operator was reading the instructions in the manual and checking the state of the necessary parts, in the present embodiment, the inspection can be performed according to the display of the output device 12 (19 in the host device 1). Here, the generator stator core end will be described as an example.

On the screen of the output device 12 (19 in the host device 1), a structural diagram of the inspection target part as shown in FIG. 26 is shown. In this example, the name of the part to be inspected is also written, but this may be used as a question number described later, or the number may also be written. Depending on the screen layout, it may be omitted, or the list may be displayed in the margin.

Although not shown in FIG. 26, inspection items are displayed in question form on this screen. This question is, for example, is the core tightening bolt loose?

Is there rust on the core?

Is the end of the coil dirty?

It is displayed on the screen such as.

In this case, the questions may be displayed one item at a time in order, or may be displayed in a list form.

Further, instead of the name of the inspection part described above,
The question may be displayed.

Besides, the inspection site and the inspection contents can be displayed together with the procedure. The following means are preferable examples.

As shown in FIG. 26, this means is to invert the inspection parts in the structural drawing according to the order of inspection. In FIG. 26, the core tightening bolt is reversed in brightness and darkness as shown by hatching, and at present, it is indicated that this portion should be inspected. in this case,
Brightness / darkness reversal may be performed for the part name. Also,
Bright / dark reversal may be performed only for the part name.

On the other hand, when the operator inputs data, the process moves to the next question, the light-dark reversal of this part is canceled, and the light-dark reversal of the next part is performed. It should be noted that a portion that has already been inspected may be distinguished from an uninspected portion by, for example, changing the brightness.

In this embodiment, the light / dark reversal is used, but it is also possible to display it by changing the brightness, changing the color, flickering or a combination thereof in accordance with the display capability of the output device.

When the operator inputs (YES, NO) or a code indicating the degree, for example, 1, 2, 3, ... Or A, B, C .. The visual inspection result judgment 8 displays the judgment and countermeasure contents for each item. In this case, for example, the abnormal portion may be clearly indicated by color display, luminance display, or the like according to the degree.

The operator's input to the question is
In addition to keyboard input, a mouse may be used.

Next, an example of the remaining life calculation 9 will be described with reference to FIGS.

In the remaining life calculation 9, the remaining breakdown voltage indicating the remaining ratio of the current breakdown voltage to the initial breakdown voltage of the inspection target machine at the time of factory shipment is obtained by two methods. That is, as the method, a method based on non-destructive test data (hereinafter referred to as D map method) and a method based on driving history data (hereinafter referred to as NY map method) are used.

First, in the D map method, the residual breakdown voltage V _D of the coil depends on the maximum discharge charge amount (Qmax) and (AC current increase rate (ΔI) + dielectric loss tangent change rate (Δtan δ ₂ )). Take advantage of that. That is, in this method, a curve of the residual breakdown voltage V _D as shown in FIG. 4 is drawn on the basis of a lot of experimental data, and for example, an empirical formula such as the formula (1) is obtained and made into a knowledge base.

[0124]

[Equation 1]

When the remaining life calculation is executed, Qmax and (ΔI + Δtan
The value of δ ₂ ) is input to the equation (1) to obtain V _D. Also,
The test data is plotted on FIG. 4 and displayed on the output device 12 (19 in the host device 1). It should be noted that the D map and the corresponding formula are prepared for each model or insulation type.

Next, the NY map method is the residual breakdown voltage V
Utilizing the fact that _NY depends on the cumulative number of years of operation Y and the cumulative number of times of starting and stopping N. That is, in this method, a curve of the residual breakdown voltage V _NY as shown in FIG. 5 is drawn on the basis of a lot of experimental data, and for example, an empirical formula such as the formula (2) is obtained and made into a knowledge base.

[0127]

[Equation 2]

At the time of execution of the remaining life calculation, the values of N and Y are input into the equation (2) to obtain V _NY , and also plotted and displayed on FIG. In the case of the NY map method,
Similar to the case of the D map method, the drawing and the calculation formula are prepared for each model or insulation type.

It is to be noted that both the D map method and the NY map method can be used not only for the model data, but also for the data obtained for other models.
Also, the database data may be searched in any manner, which may result in different relations.

The results of the D map and NY map are as follows.
It is displayed and output by an interactive instruction with the display screen.

The relational expressions of the D map method and NY map method described above are obtained based on a large amount of experimental data, but this basic data, for example, actual machine data, is newly obtained by periodic inspection or the like. If this is done, it is preferable to recalculate the curve including this data in order to improve the accuracy of the remaining life estimation. However, since this work puts a burden on the device, especially in the case of the terminal device,
It may be omitted. In that case, the relational expression is fixed.

Next, in the remaining life estimation 10 (15 in the host device 1), the remaining life value Y _R is obtained based on the residual breakdown voltages V _D and V _NY obtained in the remaining life calculation 9. Hereinafter, an example of a method for obtaining the remaining life value Y _R will be described with reference to the flowchart of FIG. 6 and FIG. 7.

First, the model and specifications are input in the model selection 30, and the residual breakdown voltage of the D map and NY map corresponding to the model is calculated (block 31). Based on the residual breakdown voltages V _D and V _NY obtained there, the D map and NY
The map is subjected to weighting determination according to the model (block 32), and either V _D or V _NY is determined as the residual breakdown voltage V _R of the inspection target machine, and the ground is displayed next (block 33).

[0134] Next from the residual breakdown voltage V _R determined, determine the time characteristic (V _R -t) characteristics (block 34). Furthermore, as shown in FIG. 7, determine the time characteristic {(V _R -S) -t} characteristic of the minimum value of V _R Considering errors S of V _R (block 35). Thereby, from the difference between the time t _α when the residual breakdown voltage reaches α% and the time t _{ri at} the time of regular inspection,
Remaining life value Y _R

[0135]

[Equation 3]

(Block 36).

The functions of the inference unit described above are basically the same as the inference unit 4 of the terminal device 2 and the inference unit 5 of the host device 1.
Therefore, it is preferable to provide the same function. However, the terminal device 2 and the host device 1 may share the roles.

For example, as described above, the non-destructive measurement support 7 and the visual inspection result determination 8 mainly contribute to the fact that the operator performs inspection work, measurement, etc. on site to collect data, so that the terminal It is a function that must be provided on the device 2 side.

The remaining life calculation 9 and the remaining life estimation 10
As for the above, the terminal device 2 side is also necessary in order to make a tentative conclusion at the site. However, these functions require a lot of data and calculation when accuracy is required, and in the case of the portable terminal device 2, there is a possibility that the processing capacity is insufficient, so that they can be easily executed locally. It is preferable that the host device 1 side divides the roles so as to perform it precisely. In this case, on the side of the terminal device 2, for example, the above-described equations (1) and (2) may be fixedly provided, and a simple one may be used to execute the calculation.

In particular, when the inference is performed using the data of the model coil in the database, a large-capacity database is required, and the load on the portable terminal device 2 for the field becomes large. In the embodiment, such a function is provided in the remaining life estimation 15 of the host device 1.

Further, although the deterioration factor inference 14 is mainly provided on the host device 1 side, it can be provided on the terminal device 2 side as well.

In this embodiment, the non-destructive measurement support 7 and the remaining life estimation 10 have a function of inferring the deterioration factor for each item on the side of the terminal device 2.

Next, an example of the inference method used by the deterioration factor inference unit 14 will be described with reference to FIG.

The nondestructive test data stored in the database 11 obtained at this time of the periodic inspection is compared with the reference value or the reference pattern of the nondestructive test data (block 41) and deteriorated due to the combination of the comparison results. The soundness determination (block 42) enumerates or concludes that the various deteriorating factors are sound.

On the other hand, the non-destructive test data obtained during the regular inspection this time are the model coil data 16, the rewound coil data 17, and the actual machine data 18 in the database 11 at the same time.
A comparison is also made with the non-destructive testing data of similar coils such as in (block 43). The similar coil having the closest data is selected from the plurality of similar coils selected from the database 11 (block 44), and 1 or 2 similar coils are selected. At this time, if the similar coil is deteriorated, the deterioration factor is extracted (block 4).
5).

As described above, by comparing the non-destructive test data with the reference value or reference pattern (block 41),
Deterioration obtained-deterioration obtained by comparison of sound conclusions with non-destructive test data of similar coils (block 43)-
An overall deterioration factor determination is determined from the sound conclusion (block 46). Here, when the conclusions of the judgment are different between the two, the strict judgment is given priority and displayed. The other is displayed as a reference conclusion.

FIG. 8 shows the deterioration factor inference using only the non-destructive test data. However, in the normal case, the same judgment is made for the visual inspection result as well, and the deterioration factor judgment is comprehensively made. Be sent down. Further, it is preferable that the deterioration factor is such that the conclusion can be displayed and the basis and process leading to the conclusion can be output and displayed by interaction with the display screen.

As described above, according to the present embodiment, the inference unit 5 of the host device 1 obtains the residual destruction value, uses a preset correlation calculation formula, and selects a similar machine by the model or specification. The case where the correlation function between various parameters and the residual fracture value is obtained from the data in the database by selecting from the above is used.

Next, an embodiment of a method for obtaining the residual destruction value from the database will be shown.

In the host device 1, for example, one or more similar device search parameters are input from the insulation type, voltage class, capacity, etc., and the computer of the host device 1 searches the database by a predetermined similarity determination function, Call the corresponding residual destruction value and parameter value data. Then, these values are plotted and displayed on the screen as shown in FIG. 24, and the correlation function is obtained by the least square method, for example.

Further, the estimated value of the residual breakdown value is calculated for the measured data of the parameter by the obtained correlation function,
The correlation diagram between the residual destruction value and the estimated value as shown in FIG. 25 is displayed, and the 95% confidence interval is calculated and displayed.

The operator obtains a plurality of correlation diagrams as shown in FIG. 25 by changing the similar machine search parameters. Further, among them, the width of 95% confidence interval is the narrowest, that is, by inputting the data obtained at the time of the periodic inspection to the correlation function having the highest reliability, the residual destruction value having the highest reliability can be obtained. The correlation function may be determined in advance as a correlation form excluding the coefficient.

FIG. 12 shows an example of the menu screen of the diagnostic system of this embodiment described above.

In the figure, when the system is started, first,
Along with displaying the name of the system, a selection section (1001 and 1002) for starting or ending the inference is displayed (block 1000).

If the inference start 1001 is selected,
A job selection screen 1100 is displayed, and in this, a menu that can be executed in the present system is shown. The selection can be performed by using a mouse or a keyboard.

When a menu other than "End" is selected, the details of each are displayed correspondingly. Then, in each of the blocks 1110-1140, a further selectable screen is displayed, and processing such as inputting necessary items is executed.

FIG. 12 shows an example of the menu screen of the diagnostic system of this embodiment described above. The menu shown in FIG. 12 can be used for both the terminal device 2 and the host device 1. However, for functions that are not installed,
The item may be masked and displayed as unselectable.
By doing so, it is convenient that any element of the diagnostic system can know that the item can be processed.

Further, a plurality of terminal devices 2 of this embodiment can be prepared for one host device 1. In this case, the diagnosis target device may be different for each terminal device 2.
By doing so, the installed functions may differ for each terminal device 2, and therefore the display state of the menu screen also changes.

Furthermore, since this embodiment is summarized as a rotating machine insulation diagnosis expert system, when applying the same diagnosis to other models, measurement assistance, visual inspection result judgment, actual machine data, etc. of the model concerned are applied. Can be applied as is by preparing. The same applies to stationary machines as well as rotating machines. Of course, for other devices, equipment, etc., and also for different test contents, a system similar to the expert system of this embodiment can be constructed by providing a database and a knowledge base for the items to be tested of the device etc. .

In this case, the content of the database depends on the target. For example, the model coil data is model data for components such as parts used in the device or facility, and the rewound coil data is the same as test data for components such as parts that have been exchanged and removed. Become.

Next, one embodiment in which fuzzy inference is used in inferring the presence or absence of abnormality in measured values or the degree of deterioration will be described with reference to FIGS. 9 to 11.

First, an example of fuzzy inference will be described with reference to FIG.

The degree of deterioration and soundness of the measured value is given by the continuous membership function 91. The horizontal axis represents the measured value, and the vertical axis represents the deterioration degree and the soundness with a value (grade) of 0 to 1, and the ambiguity with respect to the measured value is given by each membership function. Furthermore, the reliability of the remaining life value or the residual fracture value is given as a continuous function with respect to the deterioration or soundness of the measured value. Given the value (grade) of deterioration and soundness for the measured value x ₁₀ , as the reliability of the remaining life value side,
A hatched area (referred to as a reliability distribution area in this specification) is overlapped on each of them, and the value of the center of gravity of the area is obtained as the remaining life or the residual fracture value y.

Expressing this as a generalized equation, if the grade is ω _i , the measured value is x _i , the event is A _i , the remaining life value is y _i , and the event is B _i , then

[0165]

[Equation 4]

It is represented by

FIG. 10 shows an example in which a plurality of membership functions for deterioration exist in accordance with the deterioration degree. Measured value x
₂₀ belongs to two events of deterioration and small deterioration, and the y-coordinate y of the center of gravity of the sum of the areas of the reliability of the remaining life for each reliability.
You get ₂₀ .

This example is an example for one measurement parameter. However, when there are a plurality of parameters, the reliability region distributions corresponding to each are obtained, and when it is desired to estimate the average value, The union of the respective reliability area distributions is taken to obtain the remaining life coordinate value of the center of gravity. If importance is attached to the degree of risk, the value for the parameter having the smallest remaining life value may be used without taking the union. Further, the membership function is not limited to the continuous type, but may be the discrete type as shown in FIG.

When the fuzzy inference is performed, it may be performed by an ordinary digital computer. However, since the inference is slow, the insulation diagnostic system is equipped with an integrated circuit dedicated to the fuzzy inference in the terminal device and the host device. You may.

An analog circuit is used as the dedicated integrated circuit, the fuzzy dedicated circuit is operated in the computer only when the fuzzy inference is executed, and the rest of the processing is performed by a normal digital processing circuit.

High speed inference is possible by using the fuzzy inference dedicated integrated circuit.

The above-mentioned diagnosis by fuzzy inference is suitable for diagnosis of equipment and equipment including the above-mentioned rotating machine, and can be widely applied to various kinds of diagnosis. For example, it can be used for medical diagnosis, business diagnosis and the like.

The present invention is not limited to the above-mentioned embodiment, but various modifications can be made. The example is shown below.

As the output device 12, as described above,
Full color display available. As the display, for example, a liquid crystal full color display may be used. This enables the same display method as the host device.

In the output device 12 and the output device 19, a voice ROM or voice synthesis LSI dedicated to the insulation diagnosis system is built in the terminal device 2 and the host device 1, and the inference answer and other instructions are output by voice. It may be configured to output by. When a large number of people are watching the insulation diagnosis status at the same time by the voice output, even a person who cannot read the display can understand the content of the determination and prevent misinterpretation of the content of the display.

As another embodiment of the insulation diagnosis system for a rotating machine, a rewritable large-capacity optical disk can be built in a terminal device, for example, a portable computer.

As the storage capacity has been increased, it has been stored in the database of the computer of the host device 1 until now.
It is possible to store all the detailed related information of the inspection target machine in the database of the portable computer and transfer the inference knowledge base to the portable computer. As a result, all inferences from the status report to the comprehensive judgment can be performed locally by the portable computer alone.

However, if the terminal device and the host device are connected by communication means and online processing is performed, it is possible to carry out the same process as described above without transferring all the information of the host device to the terminal device side.

By the way, the diagnostic system of the present invention is composed of a combination of a terminal device and a host device, but at least the terminal device can be attached as a dedicated inspection device for the inspection object equipment or facility. In this case, the host device may be a general-purpose device or a dedicated device. Also, a common host device may be used for a plurality of inspection targets.

With such a configuration, it is possible to construct a device or facility with a diagnostic function. In particular,
It is more preferable if the measured values can be automatically input and the data can be transferred online.

Further, it is possible to construct a maintenance / inspection system for managing maintenance / inspection of a plurality of target devices and equipment by equipping one host device with a plurality of terminal devices.

In addition, a diagnostic network system can be constructed by connecting a plurality of host devices with a communication line. By doing so, a large number of inspection information can be mutually used, and the reliability of estimation of the remaining life can be further improved.

In the above-mentioned embodiment, the nondestructive measurement support is an example, and the present invention is not limited to the nondestructive measurement, but can support general measurement.

[0184]

According to the present invention, it is possible to determine whether or not there is an abnormality in the measured value at the time of regular inspection at the site, so that the regular inspection can be performed quickly and accurately.

Further, according to the present invention, since the situation report can be made locally, it is possible to promptly deal with the defect. Furthermore, in the insulation diagnosis in the host device in a factory, etc., a huge database is used, and detailed diagnosis of deterioration can be performed by comparison with similar coils.
This has the effect of improving the reliability of the comprehensive judgment result of the rotary machine insulation diagnosis such as the necessity of rewinding.

Further, according to the present invention, it is possible to teach the unskilled person how to perform the measurement method in the periodic inspection, and it is possible to check the measurement data and make a comprehensive judgment promptly for a person other than an expert. .

[Brief description of drawings]

FIG. 1 is a block diagram showing a system configuration of an embodiment of the present invention.

FIG. 2 is a block diagram showing a configuration example of an input device.

FIG. 3 is a flowchart showing an example of a flow of a data check method.

FIG. 4 is a graph showing an example of a remaining life calculation method.

FIG. 5 is a graph showing an example of a remaining life calculation method.

FIG. 6 is a flowchart of remaining life estimation.

FIG. 7 is a graph showing a remaining life value.

FIG. 8 is a flowchart showing an example of a deterioration factor inference method.

FIG. 9 is a graph showing an example of continuous and discrete membership functions in fuzzy inference.

FIG. 10 is a graph showing an example when membership functions are continuous and discrete in fuzzy inference.

FIG. 11 is a graph showing an example of continuous and discrete membership functions in fuzzy inference.

FIG. 12 is a block diagram showing an example of a menu screen of the diagnostic system of the present invention.

FIG. 13 is a flowchart showing an example of a procedure of data check of insulation resistance in the nondestructive measurement support of the present invention.

FIG. 14 is a flowchart showing an example of a procedure for checking the data of the polarization index in the nondestructive measurement support of the present invention.

FIG. 15 is a flowchart showing an embodiment of a procedure of data check of dielectric loss tangent in the nondestructive measurement support of the present invention.

FIG. 16 shows the dielectric loss tangent in the nondestructive measurement support of the present invention.
9 is a flowchart showing an example of a procedure for evaluating data on the tendency of voltage characteristics.

FIG. 17 is a flowchart showing an example of a procedure for data evaluation of a dielectric loss tangent change rate in the nondestructive measurement support of the present invention.

FIG. 18 is a flowchart showing an example of a procedure of data evaluation of a current increase rate in the nondestructive measurement support of the present invention.

FIG. 19 is a flowchart showing an example of a procedure for checking the maximum discharge charge data in the nondestructive measurement support of the present invention.

FIG. 20 is an explanatory diagram showing an example of a screen displaying a list of nondestructive test input data.

FIG. 21 is an explanatory diagram showing an example of a screen displaying a standard pattern in tan δ measurement.

FIG. 22 is an explanatory diagram showing an example of a measurement method instruction screen for nondestructive measurement support.

FIG. 23 is an explanatory diagram showing an example of a screen displaying tan δ measurement results.

FIG. 24 is a graph showing a method of obtaining a residual breakdown value using a database.

FIG. 25 is a graph showing a method of obtaining a residual breakdown value using a database.

FIG. 26 is an explanatory diagram showing an example of a screen for designating an inspection site in visual inspection result determination.

[Explanation of symbols]

1 ... Host device, 2 ... Terminal device, 4,5 ... Inference unit, 6,
11 ... Database, 20, 21 ... Input device, 12, 1
9 ... Output device, 13, 87 ... Floppy disk device, 7
… Non-destructive data check, 8… Visual inspection result judgment, 9…
Remaining life calculation, 10, 15 ... Remaining life estimation, 14 ... Deterioration factor inference, 24 ... Knowledge base editor.

Front Page Continuation (72) Inventor Yasuyuki Tsutsumi 4026 Kuji Town, Hitachi City, Hitachi, Ibaraki Prefecture Hitachi Research Laboratory, Ltd. (72) Inventor Ryozo Takeuchi 4026 Kuji Town, Hitachi City, Ibaraki Prefecture Hitachi Research Laboratory, Ltd. (72) Inventor Shinhide Fujioka 4026 Kujimachi, Hitachi City, Ibaraki Prefecture Hitachi Research Laboratory, Hitachi Co., Ltd. (72) Hiroyuki Kamiya 3-1-1, Sachimachi, Hitachi City, Ibaraki Hitachi Ltd. Hitachi Factory (72) Inventor Keiji Suzuki 3-1-1 Sachimachi, Hitachi City, Ibaraki Prefecture Hitachi Ltd.Hitachi factory (72) Inventor Masami Sukeda 3-1-1, Sachimachi Hitachi City, Ibaraki Hitachi, Ltd., Hitachi Plant (72) Inventor, Takashi Usui, 3-1-1, Sachimachi, Hitachi City, Ibaraki Hitachi Ltd., Hitachi Plant

Claims (16)

[Claims] 1. A device comprising an input device for inputting data, an output device for displaying an instruction to an operator and a processing result, and a computer connected to these devices for collecting data for diagnosis and performing diagnosis. In the facility diagnosis system, the computer includes a measurement support unit having a function of teaching items and methods to be inspected to an operator through an output device, and a remaining life estimation that estimates a remaining life based on the input data. A device / facility diagnostic system comprising: means and a status reporting means for reporting a status of the device / equipment including the remaining life through an output device. 2. The measurement support means according to claim 1,
A diagnostic system for equipment / equipment, further comprising a function of determining whether or not there is an abnormality in input data by comparing with a preset reference value and, when the abnormality continues for a preset number of times, checking the data as a normal value. 3. The measurement support means according to claim 2,
A diagnostic system for equipment / equipment, characterized in that in determining whether or not a measured value is abnormal, a determination condition is given in the form of a continuous or discrete membership function, and inference for determination is performed by fuzzy inference. 4. The equipment / facility diagnosis according to claim 3, wherein the output device has a display screen, and the measurement support means displays a structural drawing of a diagnosis target on the display screen of the output device. system. 5. The diagnostic system for equipment / facility according to claim 4, wherein the measurement support means displays items to be inspected in a question format on the display screen of the output device. 6. The output device according to claim 3, wherein the output device has a display screen, and the measurement support means causes the display screen of the output device to display a circuit diagram of a measurement circuit used for measurement for diagnosis. , A diagnostic system for equipment / equipment that displays a message of cautions regarding the measurement method. 7. The remaining life estimating means according to claim 1, which infers the remaining life of the inspection target based on a relational expression generated in advance for estimating the remaining life and the collected data. A diagnostic system for equipment / equipment, comprising: 8. The computer according to claim 7, wherein:
A device / facility diagnostic system further comprising means for inferring a deterioration factor based on input data. 9. The computer according to claim 1, wherein the computer is
A database for accumulating inspection information including inspection results for a plurality of diagnosis targets is provided, and the means for inferring the deterioration factor retrieves data of another target similar to the target to be diagnosed and deteriorates to the similar target. If there is, there is a device / facility diagnosis system that determines the deterioration factor as a deterioration factor of the device / facility to be diagnosed. 10. The means for inferring the deterioration factor according to claim 9, wherein in the inference of the determination of the deterioration factor, the determination condition is given in the form of a continuous or discrete membership function, and the inference is performed by fuzzy inference. A device / facility diagnostic system characterized by the following. 11. The computer according to claim 1, wherein the computer has inspection information accumulated for each inspection, model part data obtained by analyzing a life of a model part, and replacement part data which is test data of a replacement part. Having a database, the remaining life estimating means searches the database for non-destructive test data on an inspection target, obtains an empirical formula showing the correlation of the residual destructive value with respect to the non-destructive test data, and the database From the operation history data for the inspection target, and a means for obtaining an empirical formula showing the correlation of the residual fracture value with the operation history data, and the data obtained at the time of inspection are input to the corresponding empirical formulas. Then, the remaining life is calculated by means of each residual fracture value and the correlation between the previously determined residual fracture value and the change over time. Diagnostic system of the device / equipment, characterized in that it comprises a Mel means. 12. A method according to claim 1, 2, 3, 4, 5, 6, 7,
In 8, 9, 10 or 11, the computer is a portable computer, and is a diagnostic system for equipment / equipment. 13. A diagnostic system for equipment / facility for collecting diagnostic data and diagnosing based on this data, comprising means for judging whether or not there is an abnormality in input data by comparing with a preset reference value. The means for determining whether or not there is an abnormality in the measured value has a determination condition,
A diagnostic system for equipment / equipment, which is characterized in that it is given in the form of a continuous or discrete membership function and inference for judgment is performed by fuzzy inference. 14. A device / facility diagnostic system for collecting data for diagnosis and performing diagnosis based on this data, further comprising means for inferring a deterioration factor from input data, and inferring the deterioration factor. A means / equipment diagnostic system, characterized in that, in the inference of the determination of the factor of deterioration, the determination condition is given in the form of a continuous or discrete membership function, and the inference is performed by fuzzy inference. 15. A method of diagnosing equipment / equipment for collecting data for diagnosis and diagnosing based on this data, wherein the object of diagnosis is an electric device, and the present breakdown voltage against the initial breakdown voltage at the time of shipment of the object of diagnosis. The remaining breakdown voltage that indicates the remaining ratio of the breakdown voltage is calculated, and the time characteristic of this remaining breakdown voltage is calculated.The time until the remaining breakdown voltage reaches a specific ratio is determined from this time characteristic, and the remaining life is judged. A method for diagnosing equipment / equipment, characterized by: 16. A database for accumulating data of a plurality of devices is searched for data of a device similar to the device to be diagnosed, and if the similar device is deteriorated, the deterioration factor is the deterioration of the device to be diagnosed. A method for determining a deterioration factor of a characteristic diagnosis system, which is to determine a cause.