CN201891593U - Maintenance decision system based on fault diagnosis - Google Patents

Maintenance decision system based on fault diagnosis Download PDF

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Publication number
CN201891593U
CN201891593U CN2010206581833U CN201020658183U CN201891593U CN 201891593 U CN201891593 U CN 201891593U CN 2010206581833 U CN2010206581833 U CN 2010206581833U CN 201020658183 U CN201020658183 U CN 201020658183U CN 201891593 U CN201891593 U CN 201891593U
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CN
China
Prior art keywords
module
rcm
fault diagnosis
decision
maintenance
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Lifetime
Application number
CN2010206581833U
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Chinese (zh)
Inventor
任世科
张来斌
段礼祥
马斌
高维娜
魏杰
李磊
陈霞
陈德昌
陈勇
仇黎明
张军明
黄毓生
黄江伟
骆重阳
刘蕊
赵彦龙
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China Petroleum and Natural Gas Co Ltd
Original Assignee
China Petroleum and Natural Gas Co Ltd
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Priority to CN2010206581833U priority Critical patent/CN201891593U/en
Application granted granted Critical
Publication of CN201891593U publication Critical patent/CN201891593U/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

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Abstract

The utility model relates to the technical field of petrochemical engineering, in particular to a maintenance decision system based on fault diagnosis, which comprises a vibration data collection module, a fault diagnosis module, a reliability-centered maintenance (RCM) decision base module and an RCM decision module, wherein the vibration data collection module is connected with the fault diagnosis module , the RCM decision base module is connected with the fault diagnosis module, and the RCM decision module is connected with the RCM decision base module. Through the analysis carried out on real-time monitoring data, the maintenance decision system disclosed by the utility model can detect and diagnose the potential fault and can carry out reasonable and in-time maintenance as early as possible, and unnecessary maintenance cost can be correspondingly reduced for equipment capable of realizing safe operation after the analysis, so the optimum configuration of maintenance resources can be realized.

Description

A kind of maintenance decision system based on fault diagnosis
Technical field
The utility model relates to the petrochemical technology field, is specifically related to a kind of maintenance decision system based on fault diagnosis.
Background technique
Large-scale reciprocal unit in the oil-refining chemical enterprise system is whole flow process " heart ", because the power of the assembling unit is big, rotating speed is high, flow is big, pressure is high, complex structure, monitoring device are various, operation and maintenance require high, therefore there have slightly in links such as design, manufacturing, installation, maintenance, operations to be improper, the capital causes unit when operation all faults to take place, even causes major accidents such as device damage, poisonous and harmful substance leakage, casualties.Cause enormous economic loss not only for enterprise, society, country, and produce the important social influence.
Be that (Reliability-Centered Maintenance RCM), is the sophisticated equipment service mode that comes into one's own day by day in the world and promote in recent years for the maintenance at center with the reliability.RCM accurately is defined as: a kind ofly be used to be defined as to guarantee that equipment keeps realizing the method for the necessary activity of state of its design function under existing Environmental Conditions.The characteristics of its maximum are the orders of severity from failure effect, avoid as far as possible or can alleviate failure effect at least, have changed the sort of traditional concept of fault itself being prevented according to the technical feature of equipment failure in the past.The essence of RCM is the trouble analysis (reliability analysis) based on equipment, carries out maintenance decision according to character, the influence of fault and the consequence that may cause, and according to harm (risk) grade of equipment failure the maintenance resource is carried out allocation optimum.
Along with domestic refinery process units in recent years develops to automation, maximization direction, the loss that improper shut-down causes will be more huge, and therefore to be fit to the RCM technology requirement based on fault diagnosis of reciprocal unit will be more urgent also in research and development.At present reciprocating compressor is carried out fault diagnosis and necessary two softwares (fault diagnosis expert system and RCM analysis software) that use of RCM decision-making, could both obtain fault diagnosis result get back corresponding failure effect and maintenance decision, this will certainly produce the wasting of resources, reduces working efficiency and degree of accuracy.Particularly when reciprocal compressor produces the excessive risk fault,, be unfavorable for guaranteeing the reliability of reciprocal compressor if it is just accidents caused easily in time to provide the preventive maintenance strategy.
Summary of the invention
The technical problems to be solved in the utility model provides a kind of maintenance decision system based on fault diagnosis, after the reciprocal compressor vibration data of real-time monitoring analyzed, both obtained fault diagnosis result, get back corresponding failure effect and maintenance decision, improve reciprocal compressor troubleshooting efficient, distribute enterprise's maintenance resource rationally.
In order to achieve the above object, the technical solution adopted in the utility model is: a kind of maintenance decision system based on fault diagnosis comprises: vibrating data collection module, fault diagnosis module, RCM solution bank module and RCM decision-making module; Described vibrating data collection module is connected with described fault diagnosis module, and described RCM solution bank module is connected with described fault diagnosis module, and described RCM decision-making module is connected with described RCM solution bank module;
Wherein, described vibrating data collection module is used for each measuring point of compressor is carried out vibration signals collecting;
Described fault diagnosis module is according to the fault diagnosis of the analysis of the characteristic index of vibration of compressor signal being carried out each parts of compressor;
Described RCM solution bank module according to fault diagnosis report, is set up different faults, the pairing RCM strategy in different faults position;
Described RCM decision-making module is used to form the RCM decision table, instructs determining of the offline inspection sampled point and the sampling frequency.
The utility model compared with prior art, the beneficial effect that the technological scheme of employing produces is as follows:
The utility model is based on fault diagnosis system, and having absorbed is the advantage of the maintenance analysis method at center with the reliability, and fully takes into account a kind of maintenance mode that Economy, reliability principle combine with advanced equipment diagnosis techniques.The utility model can in the scope that factory still can control, detect and diagnose out potential fault early and carry out rationally, maintenance timely, thereby avoid the generation of security incident and reduce production loss; But for equipment through safe operation still after the Analysis on Fault Diagnosis, can the unnecessary maintenance expenses of corresponding minimizing, thus realize distributing rationally of maintenance resource.
Description of drawings
Fig. 1 is the utility model embodiment's a structured flowchart.
Embodiment
Below in conjunction with drawings and Examples technical solutions of the utility model are described in detail.
As shown in Figure 1, the utility model embodiment provides a kind of maintenance decision system based on fault diagnosis, comprising: vibrating data collection module 1, fault diagnosis module 2, RCM solution bank module 3 and RCM decision-making module 4; Vibrating data collection module 1 is connected with fault diagnosis module 2, and RCM solution bank module 3 is connected with fault diagnosis module 2, and RCM decision-making module 4 is connected with RCM solution bank module 3.
The vibrating data collection module is regularly carried out vibrating data collection to each measuring point of compressor, selects during for Compressor Fault Diagnosis to use.
Fault diagnosis module is according to the fault diagnosis of the analysis of the characteristic index of vibration of compressor data being carried out each parts of compressor, and every class fault and trouble location is sorted out, divided, formation fault diagnosis form.
RCM solution bank module is according to fault diagnosis report, sets up different faults, the pairing RCM strategy in different faults position, forms the RCM solution bank.
The RCM decision-making module is used to form the RCM decision table, and the RCM decision table has comprised failure cause, risk class, maintenance policy.The formation of RCM decision-making can be instructed determining of the off-line monitoring sampled point and the sampling frequency well, for the checking maintenance and the regular maintenance of unit provides technical support.
No matter the utility model is regular maintenance or precognition maintenance management, all have based on real-time Monitoring Data with at the expert diagnosis database of equipment failure mechanism and possibility; Can obtain fault mode and inspection, maintenance policy simultaneously for the measured data of each vibration monitoring, save a large amount of medium tache, thereby improved reliability and efficient.The present invention has also set up the RCM solution bank about the various fault modes of reciprocating compressor, the counter measure and the update functions that have the equipment failure of preventing to repeat to take place in the database; The repair and maintenance strategy has detailed upkeep operation guiding book.Mechanical discipline administrative staff at different levels not only clearly grasp maintenance test result, the historical record of equipment by the utility model, and are convenient to afterwards storage and filing.
The above is a preferred embodiment of the present utility model only, is not limited to the utility model, and for a person skilled in the art, the utility model can have various changes and variation.All within spirit of the present utility model and principle, any modification of being done, be equal to replacement, improvement etc., all should be included within the protection domain of the present utility model.

Claims (2)

1. the maintenance decision system based on fault diagnosis is characterized in that, comprising: vibrating data collection module, fault diagnosis module, RCM solution bank module and RCM decision-making module; Described vibrating data collection module is connected with described fault diagnosis module, and described RCM solution bank module is connected with described fault diagnosis module, and described RCM decision-making module is connected with described RCM solution bank module.
2. the maintenance decision system based on fault diagnosis as claimed in claim 1 is characterized in that,
Described vibrating data collection module is used for each measuring point of reciprocal compressor is carried out vibration signals collecting;
Described fault diagnosis module is according to the fault diagnosis of the analysis of the characteristic index of vibration of compressor signal being carried out each parts of compressor;
Described RCM solution bank module according to fault diagnosis report, is set up different faults, the pairing RCM strategy in different faults position;
Described RCM decision-making module is used to form the RCM decision table, instructs determining of the offline inspection sampled point and the sampling frequency.
CN2010206581833U 2010-12-14 2010-12-14 Maintenance decision system based on fault diagnosis Expired - Lifetime CN201891593U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2010206581833U CN201891593U (en) 2010-12-14 2010-12-14 Maintenance decision system based on fault diagnosis

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Application Number Priority Date Filing Date Title
CN2010206581833U CN201891593U (en) 2010-12-14 2010-12-14 Maintenance decision system based on fault diagnosis

Publications (1)

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CN201891593U true CN201891593U (en) 2011-07-06

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103745293B (en) * 2013-11-27 2017-08-01 苏州热工研究院有限公司 A kind of RCM analysis methods
CN108318230A (en) * 2018-01-24 2018-07-24 广东石油化工学院 A kind of petrochemical industry rotating machine sets trouble-shooter and its diagnostic method
CN109189053A (en) * 2018-11-07 2019-01-11 中国人民解放军陆军工程大学 A kind of control system maintenance platform based on intelligent Decision Technology
CN109358593A (en) * 2018-09-11 2019-02-19 陕西千山航空电子有限责任公司 A kind of portable aviation EDPAC Engine Diagnostic Package
CN112446585A (en) * 2020-10-16 2021-03-05 北京博华信智科技股份有限公司 Dynamic RCM (remote control module) analysis system of marine petroleum power plant

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103745293B (en) * 2013-11-27 2017-08-01 苏州热工研究院有限公司 A kind of RCM analysis methods
CN108318230A (en) * 2018-01-24 2018-07-24 广东石油化工学院 A kind of petrochemical industry rotating machine sets trouble-shooter and its diagnostic method
CN109358593A (en) * 2018-09-11 2019-02-19 陕西千山航空电子有限责任公司 A kind of portable aviation EDPAC Engine Diagnostic Package
CN109189053A (en) * 2018-11-07 2019-01-11 中国人民解放军陆军工程大学 A kind of control system maintenance platform based on intelligent Decision Technology
CN112446585A (en) * 2020-10-16 2021-03-05 北京博华信智科技股份有限公司 Dynamic RCM (remote control module) analysis system of marine petroleum power plant

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Granted publication date: 20110706

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