WO2004029744A1 - プラント制御系の異常診断システム、異常診断方法 - Google Patents
プラント制御系の異常診断システム、異常診断方法 Download PDFInfo
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- WO2004029744A1 WO2004029744A1 PCT/JP2003/011727 JP0311727W WO2004029744A1 WO 2004029744 A1 WO2004029744 A1 WO 2004029744A1 JP 0311727 W JP0311727 W JP 0311727W WO 2004029744 A1 WO2004029744 A1 WO 2004029744A1
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- Prior art keywords
- control system
- abnormal
- plant
- phenomenon
- abnormality
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Classifications
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
- G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
- G05B23/0281—Quantitative, e.g. mathematical distance; Clustering; Neural networks; Statistical analysis
Definitions
- the present invention relates to an abnormality diagnosis system and an abnormality diagnosis method for a plant control system for inputting characteristics of a control abnormality state and identifying a device causing an abnormality in a plant such as a turbine plant.
- the steam turbine of a thermal power plant adjusts the rotation speed, load torque, and rotation speed increase rate by controlling the steam supplied to the turbine.
- Figure 9 is a diagram showing the steam flow of a typical steam turbine and the configuration of the equipment that controls it.
- the steam leaving the boiler 101 drives the high-pressure turbine 104 via the main steam stop valve 102 and the steam control valve 103 arranged in series.
- the steam working in the high-pressure turbine 104 is heated by the reheater 105, and then the reheat steam stop valve 106 and the intercept valve 107 arranged in series. Turn the medium pressure turbine 108 through.
- the steam leaving the medium-pressure turbine 108 flows to the condenser 110 after turning the low-pressure turbine 109.
- the generator 111 which is directly connected to the turbines 104, 108, 109, generates electricity at a constant speed.
- the rotation speeds of the turbines 104, 1 08, 1 0 9 can be adjusted to the target.
- the rotation speed is controlled as follows. If an abnormality occurs in the steam valve that constitutes such a plant control system, it will not be possible to follow the required load. For example, abnormal signs as a control system occur, for example, hunting of the turbines 104, 108, and 109 at irregular rotation speeds. When the abnormality progresses further, the safety device operates and the turbine stops.
- the plant user investigates the cause of the abnormality based on the operation manual and past experience. If a plant user is not available, they contact the manufacturer, report an abnormal condition, request a diagnosis, or request an urgent dispatch of a technician to resolve the problem.
- inquiries about abnormal conditions by telephone or the like from the user often lack information about the characteristics of the abnormal state, and it takes a long time to narrow down the cause device. There are many.
- the primary diagnosis is first performed by a relatively simple method, and the target devices are narrowed down. After that, if necessary, a detailed diagnosis and a dispatch of technicians can be conducted, so that both the requesting side and the service side can deal with it in a short time with low cost.
- the plant control system abnormality diagnosis system and abnormality diagnosis method make it possible to easily perform primary diagnosis for plant control system abnormalities without spending a long time and high cost. I do.
- An abnormality diagnosis system for a plant control system is a control system abnormality causal matrix that relates a plurality of types of abnormal factors that occur in a plant control system and characteristics of a plurality of types of abnormal phenomena that occur in the control system. Have a class. If the characteristics of the abnormal phenomenon that occurred in the control system due to the abnormal phenomenon input element are input, the characteristic of the abnormal phenomenon Then, the cause analysis element analyzes the cause of the abnormality occurring in the control system of the plant based on the association by the control system abnormality causal matrix. Then, the abnormal factor of the plant whose cause is analyzed is output as a diagnostic result by the diagnostic result output element. The plant user can obtain the analysis and diagnosis results of the abnormal factors of the plant simply by inputting the characteristics of the abnormal phenomenon that occurred in the control system.
- FIG. 1 is a block diagram showing the configuration of a control system abnormality diagnosis system 1 for a turbine plant according to a first embodiment of the present invention.
- FIG. 2 is a diagram showing a partial data content of a control system abnormality causal matrix 6 associated with the system application software 4S of the control system abnormality diagnosis system 1.
- FIG. 3 shows the characteristics of the abnormality occurrence phenomenon 6 3 (63 a, 63 b,...)
- FIG. 7 is a diagram showing a part of data contents of the control system abnormal causal matrix 6 ′ when the operation status 65 at that time is classified and set.
- FIG. 4 shows the characteristics of the abnormality occurrence phenomenon 6 3 (6 3 a, 6 3 b) in the control system abnormality causal matrix 6 (6 ′) of the control system abnormality diagnosis system 1 in FIG. 2 or 3. ), The control system abnormal causal coefficient matrix 6 A with the weighting factor 6 7 set for the abnormal factor weighting score 6 4 when the related device status 6 6 is classified at that time FIG.
- FIG. 5 is a flowchart showing an abnormality diagnosis process based on the system application software 4S of the control system abnormality diagnosis system 1. Chart.
- FIG. 6A is a diagram showing an abnormal phenomenon input screen G 1 (upper half) displayed during the abnormality diagnosis processing of the control system abnormality diagnosis system 1.
- FIG. 6B is a diagram showing an abnormal phenomenon input screen G 1 (lower half) displayed during the abnormality diagnosis processing of the control system abnormality diagnosis system 1.
- FIG. 7 is a diagram showing an abnormality diagnosis screen G 2 displayed in the abnormality diagnosis processing of the control system abnormality diagnosis system 1.
- FIG. 8 is a block diagram showing a configuration of a turbine plant control system abnormality diagnosis system 1 connected to a network according to a second embodiment of the present invention.
- Figure 9 shows a typical steam turbine steam flow and the configuration of the equipment that controls it.
- FIG. 1 is a block diagram showing a configuration of a turbine plant control system abnormality diagnosis system 1 according to a first embodiment of the present invention.
- the control system abnormality diagnosis system 1 of the turbine plant is performed by a personal computer (personal computer) 2 using the CPU as a diagnosis computer 3.
- the diagnostic computer (CPU) 3 is a target system according to the control system abnormality diagnostic system application software 4 S recorded in the memory 4 composed of a hard disk device and a magnetic disk device. Diagnosis processing of the control system is performed.
- This control system The normal diagnosis system application software 4S is started in accordance with a user interface provided by the monitor (display unit) 21 and the keyboard (input unit) 22 of the personal computer 2, and Activate the diagnostic computer 3.
- the control system abnormality diagnosis system application software 4 S recorded in the memory 4 is a feature input program 5, a control system abnormality causal matrix 6, an analysis calculation program 7, and a diagnosis result. Includes output program 8.
- the feature input program 5 is an abnormal phenomenon input element for input processing of a feature of the control system abnormality of the turbine plant.
- the control system abnormality causal matrix 6 is a data table for associating the characteristics of a plurality of phenomena of a control system abnormality with a plurality of causes.
- the analysis calculation program 7 is for performing a cause analysis process on a plurality of features of the control system abnormality inputted according to the feature input program 5 based on the control system abnormality causal matrix 6. It is a program.
- Diagnosis result output program 8 is a program for outputting a diagnosis result corresponding to the cause analysis of the control system abnormality.
- the turbine plant control system abnormality diagnosis system 1 is composed of the following features: (1) The characteristic data of the abnormal state of the turbine plant control system is stored in the user interface 21 of the personal computer 2. , 22 input to the diagnostic computer 3. (2) Use the control system abnormality diagnosis system application software 4S, which is installed in the memory 4 in advance, to determine the target device of the cause of the abnormality. Estimation analysis is performed to obtain the primary diagnosis result. (3) Outputs the primary diagnosis result and a comment on whether detailed diagnosis is required.
- FIG. 2 is a diagram showing a partial data content of the control system abnormality causal matrix 6 associated with the system application software 4 S of the control system abnormality diagnosis system 1.
- the items on the side include the characteristics of the abnormal occurrence phenomenon 6 3 (63 a, 63 b,
- each of the target devices 6 1 (61 a, 61 b, ...) arranged in the vertical column of this matrix 6 has an abnormal factor 6 2 (62 al, 62 a2). , ⁇ , 6 2 bl, 6 2 b2, ⁇ , 6 2 cl, 6 2 c2,..., 6 2 dl, 6 2 d2,...)
- weight points 6 4 are allocated to the strength of the correlation of the causal relationship between them.
- the various target devices 61 constituting the plant control system are the main steam stop valves.
- Main steam valve MSV
- Steam control valve Intercept valve
- Reheat steam stop valve Governor
- GOV Governor
- Emergency governor Synchronizer
- Synchronizer Synchronizer
- Speed relay etc. List up.
- Each target device 6 1 (61 a, 61b, 7) is also the cause of the abnormalities of the components that make up the device 62 (62 al, 62 a2, ..., 62 bl, 6 2 b2,..., 6 2 cl, 6 2 c2, ..., 6 2 dl, 6 2 d2,
- the total number of correlation points 64 obtained for each target device 61 (61a, 61b, ...) is calculated, and the target device causing the abnormality is determined by the magnitude of the calculated total point. It is possible to narrow down (estimate) which of 6 1 (6 1 a, 6 1 b, ...) is the primary diagnosis.
- Fig. 3 shows the control of control system abnormality diagnosis system 1 in Fig. 2.
- Characteristics of abnormal occurrence phenomena in the system abnormal cause matrix 6 The control system abnormal cause when the operation status 65 is classified and set for each 63 (63a, 63b, ...) It is a figure which shows the content of some data of matrix 6 '.
- the control system abnormal causal matrix 6 ' even if the characteristic 6 3 (63 a, 63 b, ...) of the abnormal phenomenon is the same, the operation state 65 Depending on the difference, the characteristic of the abnormal phenomenon 6 3 (63 a, 63 b, ...) and the abnormality factor of each target device 61 (61 a, 61 b, , 6 2 a2, ⁇ , 6 2 bl, 6 2 b2, "-, 6 2 cl, 6 2 c2, ⁇ , 6 2 dl, 6 2 d2, ⁇ ) Change the score of 6 4... In this way, the accuracy of narrowing down (estimating) the target device 6 1 (61 a, 61 b,...) that is the cause of the abnormality is improved. Can be improved.
- the operation state 65 (operation state 1 and 2) at that time is Accordingly, the abnormal factor 6 2 (6 2 al, 6 2 a2,..., 6 2 bl, 6 2 b2, ..., 6 2 cl, 6 2 c2, ..., 6 2 dl in the target device 6 1 , 6 2 d2,...)).
- the operating condition 65 (operation condition 1) at that time is “constant load”.
- the operation method (operation status 2) b was either “automatic operation” using a speed governor (gapana) GOV, 65 all or “manual operation” 65 al2. Or “load limit operation” 65 a13.
- the weighting points 6 4... of the abnormal factors 6 2... in the target device (GOV) 6 1a can be determined according to the operation conditions 65 (operation conditions 1 and 2).
- FIG. 4 shows the characteristics of the occurrence of an abnormality in the control system abnormality causal matrix 6 (6 ′) of the control system abnormality diagnosis system 1 shown in FIG. 2 or FIG. 3 (63a, 63b,).
- Fig. 6 is a diagram showing a control system abnormal causal coefficient matrix 6A in which a weighting factor 6 7 is set for an abnormal factor weighting point 6 4 when the related device states 6 6 are classified at each time. .
- the weighting factor for 2 ... 6 7 is set to the force S (0.3).
- the fault factor weighting point 6 4 corresponding to the same fault occurrence phenomenon “load sudden change” obtained from the control system fault causal matrix 6 (6 ′) is multiplied by “0.3” to obtain the relevant fault factor. Correction of the correlation value with 6 2 is performed. This correlation value capture Positive takes into account the possibility that the abnormal phenomenon “load sudden change” has occurred due to the influence of the main steam change.
- control system abnormality causal coefficient matrix 6 A in Fig. 4 the effect of the related equipment state 66 when the abnormality occurrence phenomenon is ⁇ load sudden change '' is expressed by the weight coefficient 6 7 Indicated.
- FIG. 5 is a flowchart showing an abnormality diagnosis process based on the system application software 4 S of the control system abnormality diagnosis system 1.
- FIGS. 6A and 6B are diagrams showing an abnormal phenomenon input screen G 1 displayed in the abnormality diagnosis processing of the control system abnormality diagnosis system 1.
- Step S 1 When the computer (CPU) 3 for diagnosis is started by the personal computer 2 of the control system abnormality diagnosis system 1, the control system abnormality diagnosis system application software recorded in the memory 4 in advance. 4 S is started. For example, as shown in Fig. 6A and Fig. 6B, an abnormal phenomenon input screen G1 using the "turbine control system (MHC) abnormal phenomenon input sheet" is displayed on the monitor 21 of the personal computer 2. (Step S 1).
- MHC multiple control system
- the user selects and inputs from the preset selection items according to the items of each horizontal axis in [see FIG. 4].
- control system abnormal causal matrix 6 (6 ') recorded in the memory 4 in advance (see Fig. 2 (Fig. 3)) and the control system abnormal causal coefficient matrix 6A [Fig. 4) based on the above, the abnormality occurrence phenomena A, the abnormality phenomena B, and the operating conditions C read into the diagnostic computer 3 and the respective abnormality factors corresponding to the respective selection items 6 2 ... the number of correlation points for each 6 4 is obtained. Based on this, the total value of the abnormal factor correlation points 6 4... for each target device 61 (61 a, 61 b,...) Of the control system is calculated.
- FIG. 7 is a diagram showing an abnormality diagnosis screen G2 displayed in accordance with the abnormality diagnosis processing of the control system abnormality diagnosis system 1.
- FIG. 7 is a diagram showing an abnormality diagnosis screen G2 displayed in accordance with the abnormality diagnosis processing of the control system abnormality diagnosis system 1.
- an abnormality diagnosis screen G 2 indicating “Turbin control system abnormality temporary diagnosis” is displayed on the monitor 21 according to the diagnosis result of the abnormality factor target device analyzed in step S 3. Is displayed on the screen (step S4).
- the abnormality diagnosis screen G2 "Temporary control of turbine control system abnormality" shown in Fig. 7, the abnormality is detected for each device 6 1 (61, 61b, ...) of the turbine control system (MHC) to be diagnosed.
- each plant user can easily use the turbine computer by the general-purpose computer 2.
- the primary diagnosis of the cause of the control system abnormality can be performed.
- a maintenance policy can be quickly established, such as whether a more detailed investigation of the cause of a control system abnormality is required, and if a detailed investigation is required, which equipment should be prioritized. .
- the time and cost required for maintenance can be reduced for both the plant user and the manufacturer or service company.
- control system abnormality diagnosis system 1 In the control system abnormality diagnosis system 1 according to the first embodiment, the user directly contacts the user interface (21, 22) using the personal computer 2 of the system 1. By performing the item input operation of, the computer for diagnosis 3 activates the control system abnormality diagnosis system application software 4S to execute the abnormality diagnosis processing.
- the control system abnormality diagnosis system 1 installed on the diagnosis execution side> is transmitted from the ⁇ diagnosis request side> terminal computer (9) via the network N using the communication line 11 such as the Internet. Make it accessible.
- Each plant user does not need to install the control system abnormality diagnosis system 1, but when an abnormality occurs, it accesses the control system abnormality diagnosis system 1 installed at the manufacturer or the like via the communication network N. This makes it possible to easily perform a temporary diagnosis of a control system abnormality by accessing the system.
- FIG. 8 is a block diagram showing a configuration of a control system abnormality diagnosis system 1 for a turbine plant connected to a network according to a second embodiment of the present invention.
- a web browser 10A is installed in advance on the computer 2 of the control system abnormality diagnosis system 1 installed on the ⁇ diagnosis execution side> of the manufacturer, etc., and the external network on the communication network N is installed. It is configured to be able to access the computer terminal of this one.
- the computer terminal of the diagnosis requester> such as the user is also a computer 9 that can access the communication network N with the Web browser 1 OB installed in advance. Constitute.
- the control system abnormality diagnosis system 1 installed on the ⁇ diagnosing side> of the above manufacturer or the like should be easily accessed to temporarily diagnose the control system abnormality. Can be done.
- the general-purpose computer 9 is connected to the communication network of each platform user. Since it can be installed at the connection location with N, each user can easily use the abnormality diagnosis service provided by the manufacturer without specifying the location. Also, the site diagnosis service using the same communication function as described above can be carried out by the manufacturer or the on-site business trip service staff of the service company, and prompt service can be provided.
- control system abnormality diagnosis of the turbine plant has been described, but the type of the plant is not limited to this.
- the turbine plant to be diagnosed by the control system abnormality diagnosis system 1 of each of the above-described embodiments includes any turbine plant such as a gas turbine, a motor turbine, and a hydraulic turbine. Applicable.
- the control system abnormality causal matrices corresponding to the secondary diagnosis are also required.
- the secondary diagnosis can be executed in the same manner as in the above embodiments.
- the plant operator easily diagnoses the causes of abnormalities that have occurred in control systems such as power generation plants.
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Abstract
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Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE60326741T DE60326741D1 (de) | 2002-09-27 | 2003-09-12 | Abnormitätsdiagnosesystem in einem anlagensteuersystem und abnormitätsdiagnoseverfahren |
EP03798405A EP1544701B1 (en) | 2002-09-27 | 2003-09-12 | Abnormality-diagnosing system in plant control system, and abnormality-diagnosing method |
AU2003264424A AU2003264424B2 (en) | 2002-09-27 | 2003-09-12 | Abnormality-diagnosing system in plant control system, and abnormality-diagnosing method |
US11/088,844 US7212952B2 (en) | 2002-09-27 | 2005-03-25 | System and method for diagnosing abnormalities in plant control system |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2002283519A JP2004118693A (ja) | 2002-09-27 | 2002-09-27 | プラントの制御系異常診断システム及び異常診断方法 |
JP2002-283519 | 2002-09-27 |
Related Child Applications (1)
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US11/088,844 Continuation US7212952B2 (en) | 2002-09-27 | 2005-03-25 | System and method for diagnosing abnormalities in plant control system |
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WO2004029744A1 true WO2004029744A1 (ja) | 2004-04-08 |
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PCT/JP2003/011727 WO2004029744A1 (ja) | 2002-09-27 | 2003-09-12 | プラント制御系の異常診断システム、異常診断方法 |
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US (1) | US7212952B2 (ja) |
EP (1) | EP1544701B1 (ja) |
JP (1) | JP2004118693A (ja) |
DE (1) | DE60326741D1 (ja) |
WO (1) | WO2004029744A1 (ja) |
Families Citing this family (11)
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US8676538B2 (en) * | 2004-11-02 | 2014-03-18 | Advanced Micro Devices, Inc. | Adjusting weighting of a parameter relating to fault detection based on a detected fault |
JP4874580B2 (ja) * | 2005-06-14 | 2012-02-15 | 株式会社東芝 | 異常原因特定方法および異常原因特定システム |
JP5044968B2 (ja) | 2006-04-03 | 2012-10-10 | オムロン株式会社 | 要因推定装置、要因推定方法、プログラムおよびコンピュータ読取可能記録媒体 |
CN101536002B (zh) | 2006-11-03 | 2015-02-04 | 气体产品与化学公司 | 用于工艺监控的系统和方法 |
JP4957423B2 (ja) * | 2007-07-13 | 2012-06-20 | 東ソー株式会社 | プラント保安管理システム |
EP2598963B1 (en) * | 2010-07-26 | 2016-12-28 | Abb As | Method and viewer for a cause and effect matrix in a safety system |
JP2012199338A (ja) * | 2011-03-18 | 2012-10-18 | Fujitsu Ltd | 故障診断支援方法、プログラム及び装置 |
JP6211382B2 (ja) * | 2013-10-18 | 2017-10-11 | 株式会社日立ハイテクノロジーズ | 自動分析装置 |
JP6823576B2 (ja) * | 2017-10-26 | 2021-02-03 | 株式会社日立産機システム | 異常検出システムおよび異常検出方法 |
JP7102300B2 (ja) * | 2018-09-07 | 2022-07-19 | 株式会社日立製作所 | 故障モード推定システム |
CN116738170B (zh) * | 2023-06-13 | 2024-06-18 | 无锡物联网创新中心有限公司 | 一种工业设备的异常分析方法及相关装置 |
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JPS6433697A (en) * | 1987-07-30 | 1989-02-03 | Anritsu Corp | Abnormality diagnosis method for system |
JPH0579952A (ja) * | 1991-09-20 | 1993-03-30 | Toshiba Corp | プラント異常診断装置 |
JPH06123642A (ja) * | 1992-10-13 | 1994-05-06 | Toshiba Corp | プラント異常診断方法及びプラント異常診断装置 |
JPH06186140A (ja) * | 1992-03-18 | 1994-07-08 | Tokyo Electric Power Co Inc:The | プラント設備診断装置 |
JPH0747400A (ja) * | 1992-10-30 | 1995-02-21 | Tokyo Met Gov Gesuido Service Kk | 汚泥処理設備運用支援方法 |
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Family Cites Families (4)
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JPH0516554Y2 (ja) | 1987-08-19 | 1993-04-30 | ||
US5528516A (en) * | 1994-05-25 | 1996-06-18 | System Management Arts, Inc. | Apparatus and method for event correlation and problem reporting |
JPH08263135A (ja) | 1995-03-22 | 1996-10-11 | Mitsubishi Heavy Ind Ltd | プラント制御システム保守支援システム |
JP2003242271A (ja) * | 2002-02-13 | 2003-08-29 | Toshiba Corp | プラント診断方法および診断システム |
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2002
- 2002-09-27 JP JP2002283519A patent/JP2004118693A/ja active Pending
-
2003
- 2003-09-12 DE DE60326741T patent/DE60326741D1/de not_active Expired - Lifetime
- 2003-09-12 EP EP03798405A patent/EP1544701B1/en not_active Expired - Lifetime
- 2003-09-12 WO PCT/JP2003/011727 patent/WO2004029744A1/ja active Application Filing
-
2005
- 2005-03-25 US US11/088,844 patent/US7212952B2/en not_active Expired - Lifetime
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JPS6433697A (en) * | 1987-07-30 | 1989-02-03 | Anritsu Corp | Abnormality diagnosis method for system |
JPH0579952A (ja) * | 1991-09-20 | 1993-03-30 | Toshiba Corp | プラント異常診断装置 |
JPH06186140A (ja) * | 1992-03-18 | 1994-07-08 | Tokyo Electric Power Co Inc:The | プラント設備診断装置 |
JPH06123642A (ja) * | 1992-10-13 | 1994-05-06 | Toshiba Corp | プラント異常診断方法及びプラント異常診断装置 |
JPH0747400A (ja) * | 1992-10-30 | 1995-02-21 | Tokyo Met Gov Gesuido Service Kk | 汚泥処理設備運用支援方法 |
JPH0991037A (ja) * | 1995-09-26 | 1997-04-04 | Mitsubishi Heavy Ind Ltd | 故障診断装置 |
JPH11119823A (ja) * | 1997-10-21 | 1999-04-30 | Yaskawa Electric Corp | 故障診断装置 |
JP2002023841A (ja) * | 2000-07-04 | 2002-01-25 | Asahi Eng Co Ltd | 設備機器診断システム |
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Also Published As
Publication number | Publication date |
---|---|
EP1544701A4 (en) | 2007-08-29 |
EP1544701B1 (en) | 2009-03-18 |
AU2003264424A1 (en) | 2004-04-19 |
JP2004118693A (ja) | 2004-04-15 |
US20050203696A1 (en) | 2005-09-15 |
DE60326741D1 (de) | 2009-04-30 |
US7212952B2 (en) | 2007-05-01 |
EP1544701A1 (en) | 2005-06-22 |
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