BS ISO 13379-1-2012 Condition monitoring and diagnostics of machines Data interpretation and diagnostics techniques General guidelines《机器的工况监控和诊断 数据说明和诊断技术 通用导则》.pdf

《BS ISO 13379-1-2012 Condition monitoring and diagnostics of machines Data interpretation and diagnostics techniques General guidelines《机器的工况监控和诊断 数据说明和诊断技术 通用导则》.pdf》由会员分享，可在线阅读，更多相关《BS ISO 13379-1-2012 Condition monitoring and diagnostics of machines Data interpretation and diagnostics techniques General guidelines《机器的工况监控和诊断 数据说明和诊断技术 通用导则》.pdf（44页珍藏版）》请在麦多课文档分享上搜索。

1、raising standards worldwideNO COPYING WITHOUT BSI PERMISSION EXCEPT AS PERMITTED BY COPYRIGHT LAWBSI Standards PublicationBS ISO 13379-1:2012Condition monitoring anddiagnostics of machines Data interpretation anddiagnostics techniquesPart 1: General guidelinesBS ISO 13379-1:2012 BRITISH STANDARDNati

2、onal forewordThis British Standard is the UK implementation of ISO 13379-1:2012.Together with BS ISO 13379-2 and BS ISO 13379-3, it supersedes BSISO 13379:2003, which will be withdrawn on publication of BS ISO13379-2 and BS ISO 13379-3.The UK participation in its preparation was entrusted to Technic

3、alCommittee GME/21/7, Mechanical vibration, shock and conditionmonitoring - Condition monitoring.A list of organizations represented on this committee can beobtained on request to its secretary.This publication does not purport to include all the necessaryprovisions of a contract. Users are responsi

4、ble for its correctapplication. The British Standards Institution 2012. Published by BSI StandardsLimited 2012ISBN 978 0 580 66010 8ICS 17.160Compliance with a British Standard cannot confer immunity fromlegal obligations.This British Standard was published under the authority of theStandards Policy

5、 and Strategy Committee on 31 May 2012.Amendments issued since publicationDate Text affectedBS ISO 13379-1:2012 ISO 2012Condition monitoring and diagnostics of machines Data interpretation and diagnostics techniques Part 1: General guidelinesSurveillance et diagnostic dtat des machines Interprtation

6、 des donnes et techniques de diagnostic Partie 1: Lignes directrices gnralesINTERNATIONAL STANDARDISO13379-1First edition2012-05-01Reference numberISO 13379-1:2012(E)BS ISO 13379-1:2012ISO 13379-1:2012(E)ii ISO 2012 All rights reservedCOPYRIGHT PROTECTED DOCUMENT ISO 2012All rights reserved. Unless

7、otherwise specified, no part of this publication may be reproduced or utilized in any form or by any means, electronic or mechanical, including photocopying and microfilm, without permission in writing from either ISO at the address below or ISOs member body in the country of the requester.ISO copyr

8、ight officeCase postale 56 CH-1211 Geneva 20Tel. + 41 22 749 01 11Fax + 41 22 749 09 47E-mail copyrightiso.orgWeb www.iso.orgPublished in SwitzerlandBS ISO 13379-1:2012ISO 13379-1:2012(E) ISO 2012 All rights reserved iiiContents PageForeword ivIntroduction v1 Scope 12 Normative references . 13 Terms

9、 and definitions . 14 Condition monitoring set-up and diagnostics requirements 14.1 Role of diagnostics in operation and maintenance . 14.2 Establishing diagnostics needs 14.3 Failure mode symptoms analysis . 24.4 Diagnostics requirements report 65 Elements used for diagnostics 65.1 Condition monito

10、ring data 65.2 Machine data . 85.3 Machine history . 86 Diagnostic approaches 96.1 Two types of approaches 96.2 General guidelines for the selection of appropriate diagnostic approaches . 96.3 Data-driven approaches 106.4 Knowledge-based approaches 146.5 Confidence factor determination 18Annex A (in

11、formative) Failure mode and symptoms analysis (FMSA) .20Annex B (informative) Effectiveness of the diagnostics system .23Annex C (informative) Comparative analysis of diagnostic models .25Annex D (informative) Most commonly used diagnostic models by monitoring technique 26Annex E (informative) Examp

12、le of diagnostic report 27Annex F (informative) Example of causal tree modelling: bearing spalling .30Annex G (informative) Example of diagnosis confidence level determination 32Bibliography .33BS ISO 13379-1:2012ISO 13379-1:2012(E)ForewordISO (the International Organization for Standardization) is

13、a worldwide federation of national standards bodies (ISO member bodies). The work of preparing International Standards is normally carried out through ISO technical committees. Each member body interested in a subject for which a technical committee has been established has the right to be represent

14、ed on that committee. International organizations, governmental and non-governmental, in liaison with ISO, also take part in the work. ISO collaborates closely with the International Electrotechnical Commission (IEC) on all matters of electrotechnical standardization.International Standards are draf

15、ted in accordance with the rules given in the ISO/IEC Directives, Part 2.The main task of technical committees is to prepare International Standards. Draft International Standards adopted by the technical committees are circulated to the member bodies for voting. Publication as an International Stan

16、dard requires approval by at least 75 % of the member bodies casting a vote.Attention is drawn to the possibility that some of the elements of this document may be the subject of patent rights. ISO shall not be held responsible for identifying any or all such patent rights.ISO 13379-1 was prepared b

17、y Technical Committee ISO/TC 108, Mechanical vibration, shock and condition monitoring, Subcommittee SC 5, Condition monitoring and diagnostics of machines. This first edition of ISO 13379-1 cancels and replaces ISO 13379:2003, which has been technically revised.ISO 13379 consists of the following p

18、arts, under the general title Condition monitoring and diagnostics of machines Data interpretation and diagnostics techniques: Part 1: General guidelinesThe following parts are planned: Part 2: Data-driven applications Part 3: Knowledge-based applicationsiv ISO 2012 All rights reservedBS ISO 13379-1

19、:2012ISO 13379-1:2012(E)IntroductionThis part of ISO 13379 contains general procedures that can be used to determine the condition of a machine relative to a set of baseline parameters. Changes from the baseline values and comparison to alarm criteria are used to indicate anomalous behaviour and to

20、generate alarms: this is usually designated as condition monitoring. Additionally, procedures that identify the cause(s) of the anomalous behaviour are given in order to assist in the determination of the proper corrective action: this is usually designated as diagnostics. ISO 2012 All rights reserv

21、ed vBS ISO 13379-1:2012BS ISO 13379-1:2012Condition monitoring and diagnostics of machines Data interpretation and diagnostics techniques Part 1: General guidelines1 ScopeThis part of ISO 13379 gives guidelines for the data interpretation and diagnostics of machines. It is intended to allow the user

22、s and manufacturers of condition monitoring and diagnostics systems to share common concepts in the fields of machine diagnostics; enable users to prepare the necessary technical characteristics that are used for the further diagnosis of the condition of the machine; give an appropriate approach to

23、achieve a diagnosis of machine faults.Since these are general guidelines, a list of the machine types addressed is not included. However, the machine sets covered by this part of ISO 13379 normally include industrial machines such as turbines, compressors, pumps, generators, electrical motors, blowe

24、rs, gearboxes, and fans.2 Normative referencesThe following documents, in whole or in part, are normatively referenced in this document and are indispensable for its application. For undated references, the latest edition of the referenced document (including any amendments) applies.ISO 13372, Condi

25、tion monitoring and diagnostics of machines Vocabulary3 Terms and definitionsFor the purposes of this document, the terms and definitions given in ISO 13372 apply.4 Condition monitoring set-up and diagnostics requirements4.1 Role of diagnostics in operation and maintenanceDiagnostics have an essenti

26、al role in decision making for operation and maintenance tasks. In order to be effective, diagnostics procedures should be set up according to the faults that can occur in the machine. Therefore, it is strongly recommended that a preliminary study be carried out when preparing the requirements for t

27、he condition monitoring and diagnostics system of a machine.4.2 Establishing diagnostics needsThe principle of this study is shown in Figure 1. The V-shape has been intentionally chosen to represent the high-level concerns (maintenance: machine, risk assessment) and the “low level” ones (measurement

28、s: monitoring, periodical tests, data processing).The left branch corresponds to the preliminary study, which prepares, for a particular machine, the necessary data for condition monitoring and diagnostics. The right branch of the sketch corresponds to the condition INTERNATIONAL STANDARD ISO 13379-

29、1:2012(E) ISO 2012 All rights reserved 1BS ISO 13379-1:2012ISO 13379-1:2012(E)monitoring and diagnostic activities that are normally undertaken after the machine has been commissioned. Each layer consists of a preparatory design phase (left) and a usage phase (right).Figure 1 Condition monitoring an

30、d diagnostics (CM and D) cycle: design and use of the application on a machineThe generic steps of the diagnostic study include the following:a) analyse the machine availability, maintainability, criticality with respect to the whole process;b) list the major components and their functions;c) analys

31、e the failure modes and their causes as component faults;d) express the criticality, taking into account the significance (safety, availability, maintenance costs, production quality) and the occurrence;e) decide accordingly which faults should be covered by diagnostics (“diagnosable”);f) analyse un

32、der which operating conditions the different faults can be best observed and define reference conditions;g) express the symptoms that can serve in assessing the condition of the machine and that are used for diagnostics;h) list the descriptors that are used to evaluate (recognize) the different symp

33、toms;i) identify the necessary measurements and transducers from which the descriptors are derived or computed.The steps given in a), b), c) and d) may be followed using maintenance optimization such as FMEA (failure modes and effects analysis) or FMECA (failure modes, their effects and criticality

34、analysis). They also may be accomplished within a more general process of maintenance optimization like RCM (reliability-centred maintenance).NOTE The FMEA and FMECA procedures are outlined in IEC 608126.The steps given in c), d), e), f), g), h) and i) may be followed using the FMSA (failure mode sy

35、mptoms analysis) methodology explained in 4.3.4.3 Failure mode symptoms analysis4.3.1 Process of failure mode symptoms analysisThe aim of this process is to select monitoring technologies and strategies that maximize the confidence level in the diagnosis and prognosis of any given failure mode.This

36、methodology is designed to assist with the selection of monitoring techniques that provide the greatest sensitivity to detection and rate of change of a given symptom. Where the confidence in a techniques 2 ISO 2012 All rights reservedBS ISO 13379-1:2012ISO 13379-1:2012(E)sensitivity and resulting d

37、iagnosis/prognosis accuracy is questionable, the use of additional techniques for further correlation is recommended.This process is essentially a modification of a FMECA process with a focus on the symptoms produced by each failure mode identified and the subsequent selection of the most appropriat

38、e detection and monitoring techniques and strategies.This tool should be used in conjunction with an existing FMECA analysis that has already identified and ranked possible failure modes.4.3.2 Guide for usageThis process is best represented by Table A.1. The essential items are as follows: listing t

39、he components involved; listing the possible failure modes for each component; listing the effects of each failure mode; listing the causes of each failure mode; listing the symptoms produced by each failure mode; listing the most appropriate monitoring technique; listing the estimated frequency of

40、monitoring; ranking each failure mode by detection, severity, diagnosis confidence and prognosis confidence resulting in a monitoring priority number (MPN); listing the most appropriate correlation techniques; listing the frequency of monitoring for the correlation techniques.The greatest difficulty

41、 arises in establishing the correct terms for failure mode, effect, and cause. The failure mode is a definition of how the failure would be observed, i.e. bent, corroded, etc. In the FMECA processes that should have been carried out prior to the FMSA process, there are areas of overlap between the t

42、erms used for the failure modes, effects and causes. An item may appear as a cause of failure in one line when considering a component and as a failure mode in another. A term may also appear as an effect in one line when dealing with a component and as a failure mode when dealing with an assembly.

43、This also remains true for the FMSA process.Care shall be taken to avoid duplication of failure mode and cause on the same line. For any one item the failure mode, effect, and cause shall read logically across the page. It can help to use the following form: a failure mode could result in an effect

44、due to a cause.When considering monitoring strategies, the following form can also be used: a failure mode produces symptoms, which are best detectable by a primary monitoring technique resulting in a high diagnosis and prognosis confidence when monitored at a given monitoring frequency; increased d

45、iagnosis and prognosis confidence can be gained by using “correlation techniques” when monitored at a given “monitoring frequency”.4.3.3 Guide for rating4.3.3.1 GeneralA rating which estimates the likelihood of detection, prognosis accuracy, and the degree of severity is assigned to each column. Pro

46、vided that a user applies a consistent rating throughout all analyses, the higher risk categories reflect a higher MPN. ISO 2012 All rights reserved 3BS ISO 13379-1:2012ISO 13379-1:2012(E)4.3.3.2 Rating detection (DET)The likelihood of detection is rated from 1 to 5 and is designed to reflect the ov

47、erall detectability of a failure mode irrespective of the following accuracy of diagnosis or prognosis. This rating is designed to highlight failure modes which: produce symptoms that are detectable but unrepeatable; produce symptoms that are undetectable; produce symptoms that are not measurable in

48、 practice; or produce symptoms that may be masked by other failure mode symptoms.This is estimated on a scale of 1 to 5, where: 1 means “There is a REMOTE LIKELIHOOD that this failure mode will be detected.” 2 means “There is a LOW LIKELIHOOD that this failure mode will be detected.” 3 means “There

49、is a MODERATE LIKELIHOOD that this failure mode will be detected.” 4 means “There is a HIGH LIKELIHOOD that this failure mode will be detected.” 5 means “It is VIRTUALLY CERTAIN that this failure mode will be detected.”4.3.3.3 Severity of failure (SEV)This ranking should reflect any previous FMECA analysis and is designed to rank individual failure modes by risk.This is estimated on a scale of 1 to 4, where 1 means “Any event which could cause degradation of system performance function(s) resultin