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Condition monitoring and diagnostics of machines - Prognostics - Part 1: General guidelines
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Basic data Standard ID | GB/T 23713.1-2024 (GB/T23713.1-2024) | Description (Translated English) | Condition monitoring and diagnostics of machines - Prognostics - Part 1: General guidelines | Sector / Industry | National Standard (Recommended) | Classification of Chinese Standard | J04 | Classification of International Standard | 17.160 | Word Count Estimation | 26,235 | Date of Issue | 2024-12-31 | Date of Implementation | 2025-07-01 | Older Standard (superseded by this standard) | GB/T 23713.1-2009 | Issuing agency(ies) | State Administration for Market Regulation, China National Standardization Administration |
GB/T 23713.1-2024: Condition monitoring and diagnostics of machines - Prognostics - Part 1: General guidelines ---This is a DRAFT version for illustration, not a final translation. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.) will be manually/carefully translated upon your order.
ICS 17.160
CCSJ04
National Standard of the People's Republic of China
Replaces GB/T 23713.1-2009
Machine condition monitoring and diagnostic prediction
Part 1.General Guidelines
Part 1.General guidelines
Released on 2024-12-31
2025-07-01 Implementation
State Administration for Market Regulation
The National Standardization Administration issued
Table of Contents
Preface III
Introduction IV
1 Scope 1
2 Normative references 1
3 Terms and Definitions 1
4 Data requirements 2
5 Forecast Concept 3
5.1 Basic Concepts 3
5.2 Impact Factor 5
5.3 Trend, setting of warning, alarm and trip (shutdown) limits 6
5.4 Multi-parameter analysis 7
5.5 Starting criteria 8
5.6 Prediction of the onset of failure modes 9
6 Predicted failure and degradation models10
6.1 Concepts of modeling failure mode behavior 10
6.2 Modeling Types 11
7 General forecasting process 11
7.1 Forecast Confidence 11
7.2 Forecasting process 12
7.3 Forecast report 13
Appendix A (Normative) Condition Monitoring Flowchart 14
Appendix B (Informative) Example of determining forecast confidence 15
Appendix C (Informative) Failure Modeling Techniques 16
C.1 Five common modeling methods 16
C.2 Three Modeling Applications 16
C.3 Model Validation17
Reference 18
Foreword
This document is in accordance with the provisions of GB/T 1.1-2020 "Guidelines for standardization work Part 1.Structure and drafting rules for standardization documents"
Drafting.
This document is part 1 of GB/T 23713 "Machine Condition Monitoring and Diagnosis and Prognosis". GB/T 23713 has been published as follows
part.
--- Part 1.General guidance.
This document replaces GB/T 23713.1-2009 "Machine Condition Monitoring and Diagnosis and Prognosis Part 1.General Guidelines" and
Compared with GB/T 23713.1-2009, in addition to structural adjustments and editorial changes, the main technical changes are as follows.
--- Added the terms "forecast", "remaining useful life" and "forecast domain" (see 3.2, 3.9, 3.10);
--- Change the term "failure mode effects analysis" to "failure mode influence analysis" (see 3.5, 3.4 of the.2009 edition);
--- Change the term "failure mode effect criticality analysis" to "failure mode, effect and criticality analysis" (see 3.6,.2009 edition)
3.5);
--- Change the term "failure mode symptom analysis" to "failure mode sign analysis" (see 3.7, 3.6 of the.2009 edition);
---Added data requirements, mainly including. performance thresholds related to system health, configuration status in equipment manufacturing (production batch number, product
product batch number) and environmental data on health effects of parts (see 4.1);
--- Added two methods of representing the diagnosis and budget process, including. diagnosis and prediction diagram of the fault progression timeline, and diagnosis and
Process diagram of prediction (see 5.1);
--- Added two weighted assessment factors in the general forecast process, including. future load conditions and future environmental conditions [see 7.1l), m)];
--- Added forecast reporting process (see 7.1);
--- Change “later behavior forecast” to “later forecast” (see 7.2.5, 7.2.5 of the.2009 edition).
This document is equivalent to ISO 13381-1.2015 "Machine condition monitoring and diagnostic prognosis Part 1.General guidance".
Please note that some of the contents of this document may involve patents. The issuing organization of this document does not assume the responsibility for identifying patents.
This document was proposed and coordinated by the National Technical Committee for Standardization of Mechanical Vibration, Shock and Condition Monitoring (SAC/TC53).
This document was drafted by. China Shipbuilding Industry Corporation 711 Research Institute, Zhengzhou Machinery Research Institute Co., Ltd., Huadian Electric Power Science and Technology Co., Ltd.
Research Institute Co., Ltd., Linhai Xinrui Electronic Technology Co., Ltd., China Southern Power Grid Electric Power Technology Co., Ltd., Henan Jiuyu En
Pai Electric Power Technology Co., Ltd., Qingdao National Laboratory for Marine Science and Technology, Zhejiang University, Hubei Huazhong Electric Power Technology Development Co., Ltd.
Ren Company, Primetals Machine Tool (Dongguan) Co., Ltd., and Yueyang Changlian Mechanical and Electrical Engineering Technology Co., Ltd.
The main drafters of this document are. Wang Guan, Ma Weiping, Huang Haizhou, Zhang Jizhou, Song Yixin, Liu Shi, Guo Yujie, Zhao Lei, Shen Jianping, Shi Hongtao,
Tong Zongpeng, Yu Liang, Huang Huafeng, Chen Zhangwei, Li Changsheng.
The previous versions of this document and the documents it replaces are as follows.
---GB/T 23713.1-2009;
---This is the first revision.
Introduction
The complete process of machine condition monitoring consists of the following five different stages.
---Discover problems (deviation from normal state);
---Diagnosis of faults and their causes;
--- Forecast of fault development trend;
---Recommendations for troubleshooting measures;
---Post-mortem analysis.
GB/T 23713 aims to establish technical issues related to prediction in the process of machine condition monitoring and diagnosis, and is intended to consist of the following parts.
--- Part 1.General guidance. The purpose is to provide general guidance on prediction concepts, failure and degradation models and prediction processes.
--- Part 2.Methods based on performance parameters. The purpose is to provide prediction methods based on performance parameters.
--- Part 3.Application technology of cyclic drive life. The purpose is to provide application technology for predicting cyclic drive life.
--- Part 4.Remaining useful life prediction model. The purpose is to provide a remaining useful life prediction model.
The prediction of machine health status requires predicting its future integrity and degradation degree, so the prediction process is difficult to be rigorous.
The standardization of machine health prediction focuses more on guidelines, methods and concepts rather than strict procedures and standards.
operate.
Prediction of future fault progression requires the prediction of possible failure modes and the tasks that the machine will undertake in the future, as well as an understanding of the failure modes and operation.
This may require understanding the physics behind the failure mode and require data collection before inference, prediction, and forecasting can be performed.
Operating conditions and operating parameters, maintenance history, inspection results, pre-failure data, trajectory and related operating data, as well as current status parameters, performance
parameter.
The prediction process needs to take into account the damage analysis model.
As computing power continues to increase and data storage costs decrease, multi-parameter analysis and modeling will become more complex.
In addition to the future characteristics under certain conditions, if the initial criteria are known (expressed as a set of parameter values for a given model), it is feasible to predict the damage accumulation process.
Now.
Machine condition monitoring and diagnostic prediction
Part 1.General Guidelines
1 Scope
This document provides guidance for the application and development of forecasting processes. It aims to.
---Let developers, suppliers, users and manufacturers share the general concept of forecasting;
--- Enable users to determine the data, characteristics, processes and performance necessary for accurate forecasting;
--- Summarize the general methods and processes for forecast development;
---Introducing the concept of prediction to facilitate the development and training of future systems.
This document provides normative terms, definitions, data collection requirements, forecast concepts, model criteria, prediction, and
General guidance on failure and degradation models and prediction procedures.
This document applies to guidelines in the field of machine condition monitoring and diagnosis, including research on machine condition monitoring and diagnosis methods, monitoring and diagnosis
The development of equipment and predictive maintenance of equipment, as well as other international normative documents and information documents applicable to national standards, such as
Technical report.
2 Normative references
The contents of the following documents constitute the essential clauses of this document through normative references in this document.
For referenced documents without a date, only the version corresponding to that date applies to this document; for referenced documents without a date, the latest version (including all amendments) applies to
This document.
ring-Vocabulary)
Note. GB/T 2298-2010 Mechanical vibration, shock and condition monitoring vocabulary (ISO 2041.2009, IDT)
Vocabulary
Note. GB/T 20921-2007 Machine condition monitoring and diagnostic vocabulary (ISO 13372.2004, IDT)
machines-General guidelines)
Note. GB/T 22393-2015 General Guidelines for Machine Condition Monitoring and Diagnosis (ISO 17359.2011, IDT)
3 Terms and definitions
For the purpose of this document, the terms and definitions defined in ISO 13372 and ISO 2041 and the following apply.
3.1
Prognosis
An estimate of the risk and time to failure of one or more incipient failure modes.
[Source. ISO 13372.2012,10.2]
3.2
Prognostics
Within the design parameters, future conditions and remaining life are estimated through failure symptom analysis.
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