DIN ISO 18129-2016 Condition monitoring and diagnostics of machines - Approaches for performance diagnosis (ISO 18129 2015)《机器的工况监测和诊断 性能诊断方法(ISO 18129-2015)》.pdf

1、January 2016 English price group 11No part of this translation may be reproduced without prior permission ofDIN Deutsches Institut fr Normung e. V., Berlin. Beuth Verlag GmbH, 10772 Berlin, Germany,has the exclusive right of sale for German Standards (DIN-Normen).ICS 25.020!%KXU“2405350www.din.deDIN

2、 ISO 18129Condition monitoring and diagnostics of machines Approaches for performance diagnosis (ISO 18129:2015),English translation of DIN ISO 18129:2016-01Zustandsberwachung und -diagnostik von Maschinen Verfahren der Prozessgte-Diagnose (ISO 18129:2015),Englische bersetzung von DIN ISO 18129:2016

3、-01Surveillance et diagnostic dtat des machines Dmarches pour le diagnostic de performance (ISO 18129:2015),Traduction anglaise de DIN ISO 18129:2016-01www.beuth.deDocument comprises 21 pagesDTranslation by DIN-Sprachendienst.In case of doubt, the German-language original shall be considered authori

4、tative.01.16 A comma is used as the decimal marker. ivv11122333444455566678888810101213141617PageIntroduction 41 Scope . 52 Normative references 53 Terms and definitions . 54 Types of performance monitoring and diagnostics . 64.1 Basic concepts .4.2 Online performance monitoring 74.3 Offline perform

5、ance analysis 74.4 Online performance monitoring with validation 75 Guidance on installation of performance monitoring and diagnostics systems 85.1 Preconditions . 85.2 Planning 85.3 Operation analysis of equipment and definition of output performance parameters 85.4 Definition of operation states .

6、 95.4.1 General 95.4.2 Steady state . 95.4.3 Nominal state .105.4.4 Partial load states .105.5 Adjusting the model.105.6 Testing the performance monitoring 116 Methods and requirements for carrying out performance monitoring and diagnostics of machines .126.1 Methodology 126.2 Plausibility check . 1

7、26.3 Cycle times and averaging 126.4 Implemented calculations and input parameters 126.5 Validation 147 Data interpretation and assessment criteria 14Annex A (informative) Input parameters recommended for describingthe operating conditions 16Annex B (informative) Measured and expected descriptors re

8、commended for performance monitoring and diagnostics .17Annex C (informative) Example of pump performance monitoring .18Annex D (informative) Example of gas turbine Hydraulic clearance optimization .20Bibliography .21Contents PageNational Foreword .3.DIN ISO 18129:2016-01 26National foreword The tex

9、t of ISO 18129:2015 has been prepared by Technical Committee ISO/TC 108 “Mechanical vibration, shock and condition monitoring“,Subcommittee SC 5 “Condition monitoring and diagnostics of machine systems” (Secretariat: ANSI, USA). The responsible German body involved in its preparation was Normenaussc

10、huss Akustik, Lrmminderung und Schwingungstechnik im DIN und VDI (Acoustics, Noise Control and Vibration Engineering Standards Committee in DIN and VDI), Working Committee NA 001-03-06-05 UA (NALS/VDI C 6.5) Schwingungs- und Zustandsberwachung von Maschinen und -anlagen. Attention is drawn to the po

11、ssibility that some of the elements of this document may be the subject of patent rights. DIN shall not be held responsible for identifying any or all such patent rights. The DIN Standards corresponding to the International Standards referred to in this document are as follows: ISO 13372 DIN ISO 173

12、59 Supplement 1 ISO 17359 DIN ISO 17359 National Annex NA (informative) Bibliography DIN ISO 17359, Condition monitoring and diagnostics of machines General guidelines DIN ISO 17359 Supplement 1, Condition monitoring and diagnostics of machines Supplement 1: Explanations of technical terms DIN ISO 1

13、8129:2016-01 3 IntroductionChallenged with high energy costs, emission reduction demands, and increasing flexibility demands, ensuring and verifying maximum efficiency of machines and systems has become a constant struggle for owners and operators.Machines, groups of machines or industrial installat

14、ions (equipment) fulfil their tasks by employing energy conversion or energy transportation processes. The efficiency of these energy conversion and energy transportation processes is the performance of the equipment or related processes. Good performance means high efficiency and low losses. If the

15、 energy conversion process includes a thermodynamic process, especially a thermodynamic cycle process, performance monitoring can become very complex.Performance monitoring and diagnostics systems are increasingly implemented for this purpose. These are modern information systems that monitor the pr

16、ocesses of machines, groups of machines, or complete industrial installation in order to detect and localize opportunities to improve their efficiency respective performance.The benefits of performance monitoring and diagnostics lie in the provision of information (e.g. measured descriptors and expe

17、cted descriptors) regarding the current performance status of the equipment. This information is the basis to avoid non-optimal operating states, degradation processes, and to ensure early detection and quantification of deterioration processes (e.g. erosion, corrosion).Performance monitoring is oft

18、en used in addition to condition monitoring.Targets of performance monitoring and diagnostics are enhanced quality of energy conversion by achieving optimized operation, emission reduction, quantifying deterioration, recognizing faulty instrumentation, detecting defective equipment, enhanced availab

19、ility of machines, increasing efficiency, thereby reducing energy costs and costs for emissions, and improvement in internal reporting and communication by increased transparency and calculation of well-defined descriptors.Results of performance monitoring and diagnostics are addressed to operators

20、to change the operating regime in case of identified not optimal operation, and maintenance staff to repair or modify the machine or equipment in order to eliminate identified faults/deterioration.Condition monitoring and diagnostics of machines Approaches for performance diagnosisDIN ISO 18129:2016

21、-01 4 1 ScopeThis International Standard provides an introduction on how to apply performance monitoring and diagnostics for machines, groups of machines, up to complete industrial installation (equipment) typically covering the whole lifetime of the machines.This International Standard is intended

22、to introduce the terminology specifically related to performance monitoring and diagnostics of machines, describe the types of performance monitoring and diagnostics procedures and their merits, provide guidance on installation of performance monitoring and diagnostics systems, outline methods and r

23、equirements for carrying out performance monitoring and diagnostics of machines, and provide information on data interpretation, and assessment criteria and reporting requirements.This International Standard includes testing procedures for determining the accuracy of performance monitoring and diagn

24、ostics systems and procedures (including providing inputs for benchmarking the performance of equipment).2 Normative referencesThe following documents, in whole or in part, are normatively referenced in this document and are indispensable for its application. For dated references, only the edition c

25、ited applies. For undated references, the latest edition of the referenced document (including any amendments) applies.ISO 13372, Condition monitoring and diagnostics of machines VocabularyISO 13379-1, Condition monitoring and diagnostics of machines Data interpretation and diagnostics techniques Pa

26、rt 1: General guidelinesISO 17359, Condition monitoring and diagnostics of machines General guidelines3 Terms and definitionsFor the purposes of this document, the terms and definitions given in ISO 13372, ISO 13379-1, ISO 17359, and the following apply.3.1performancebehaviour, characteristics and e

27、fficiency of a technological process, running in a machine derived by measurement and calculation of one or more parameters, for example, power, flow, efficiency or speed, which singly or together provide the necessary informationSOURCE: ISO 13372:2012, 2.3Note 1 to entry: Performance is used to qua

28、lify energy conversion processes with mostly thermodynamic process parts included.DIN ISO 18129:2016-01 5 Note 2 to entry: According to ISO 13372 machines, group of machines and complete industrial installations are referred to as equipment.3.2thermodynamic processenergy conversion process where the

29、rmal energy is involved as a major energy form3.3steady stateoperating condition whereby the value of the described signal does not vary significantly with timeNote 1 to entry: A process is regarded as steady-state when characteristic parameters are steady-state.3.4descriptorfeaturedata item derived

30、 from raw or processed parameters or external observationSOURCE: ISO 13372:2012, 6.23.5measured descriptorsignal obtained directly from the monitored equipment as measured value or processed directly from measured values, which is relevant for performance3.6expected descriptorcorresponding value to

31、a measured descriptor that is obtained from a model, where the model describes the expected performance of the equipment3.7performance factorratio between actual value and expected value of efficiency Note 1 to entry: A performance factor greater than 100 % means “better than target”, less than 100

32、% is deterioration.Note 2 to entry: It is expressed as a percentage (%).4 Types of performance monitoring and diagnostics4.1 Basic conceptsPerformance monitoring typically includes a comparison between measured descriptors (describing the performance of a machine, for example, power, flow, efficienc

33、y) against the expected descriptors.The assessment of the performance by comparison requires identical operating conditions, such as speed, load, or temperature. Therefore, reference operating conditions are needed. With respect to the objective of the performance monitoring, different concepts are

34、applicable:a) Performance monitoring at actual measurement conditions the operating conditions during measurement are used as reference and the expected descriptors are converted into values at these conditions. This concept is preferred, if for example, information about actual losses due to degrad

35、ation under the present operating conditions is demanded.b) Defined operating conditions are used as reference for performance monitoring. The measured descriptors gained at present operating conditions are converted into values at reference conditions. This method is preferred for trending purposes

36、 to eliminate the operating conditions influence.DIN ISO 18129:2016-01 6 NOTE Where correction to reference conditions is required, advice is given in the appropriate acceptance testing standard. A selection of International Standards relating to performance and acceptance testing is included in the

37、 Bibliography to ISO 17359.4.2 Online performance monitoringThe basis of online performance monitoring is a model of the process running in a machine (e.g. thermodynamic process like Clausius-Rankine-Cycle or Joule Cycle).Calculation results of the model are referred to as “expected” descriptors as

38、they represent the theoretical or healthy status of the equipment for given operating conditions, i.e. without consideration of degradation, fouling, and faults. Here, the operating conditions are characterized by a small number of input parameters which are taken from measured values (in general, a

39、mbient conditions, fuel properties, speed, load, etc.).The comparison of measured descriptors with expected descriptors allows monitoring of component performance, identification of abnormal performance situations, and analysis of component performance and abnormal operating conditions.The monitorin

40、g of abnormal situations is followed by an analysis. This analysis is supported by the computation of key performance parameters (e.g. efficiencies and losses). Such parameters are derived from both corresponding measured descriptors and expected descriptors obtained with the model.4.3 Offline perfo

41、rmance analysisOffline performance analysis is based on the same or a similar sophisticated model as online performance monitoring.However, offline performance analysis allows controlled variation of the input parameters or the model characteristics.This provides the basis for “what-happens-if” calc

42、ulations, which are helpful for diagnostics of deviations between measured and expected descriptors from online performance monitoring.4.4 Online performance monitoring with validationIn order to enhance data quality and to detect corrupt measurements, data validation according to VDI 2048-1 is reco

43、mmended.Using this method of data reconciliation, validated results provide a consistent set of measurements and the accuracy is enhanced overall. This allows better comparison of measured descriptors with expected descriptors.The calculation process is strongly dependent on the availability of redu

44、ndant or physically related measurements and the accuracy of the measured descriptors.By building closed energy and mass balances, additional (not measured or not measurable) parameters can be calculated like heating surface properties that are not available without data reconciliation.NOTE An incon

45、sistent set of measurements can be detected by the validation process. Therefore, online performance monitoring with validation is helpful to enhance data quality and to detect suspect measurements.DIN ISO 18129:2016-01 7 5 Guidance on installation of performance monitoring and diagnostics systems5.

46、1 PreconditionsA general precondition of performance monitoring and diagnostics system is that the operating characteristics of the equipment to be monitored match the required function.NOTE Errors arising from inadequate system design cannot be corrected by means of performance monitoring.The follo

47、wing prerequisites are recommended for analysis of suitability: All machines of the equipment under consideration should run at manufacturer specified nominal conditions (characterized by, for example, flow, pressure, temperature, power). If a machine is operated in partial load or overload regions,

48、 at least these regions should belong to the allowable operating region specified by the manufacturer.NOTE High efficiency of a machine is not identical with high efficiency of the equipment to which the machine belongs if, for example, the machine always runs in partial load.5.2 PlanningBefore performance monitoring and diagnostics are started, the following steps shoul