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GB/T 41397-2022: Quality control of production process - Fault diagnostics
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Quality control of production process - Fault diagnostics
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GB/T 41397-2022
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Basic data | Standard ID | GB/T 41397-2022 (GB/T41397-2022) | | Description (Translated English) | Quality control of production process - Fault diagnostics | | Sector / Industry | National Standard (Recommended) | | Classification of Chinese Standard | N19 | | Word Count Estimation | 17,183 | | Issuing agency(ies) | State Administration for Market Regulation, China National Standardization Administration | GB/T 41397-2022: Quality control of production process - Fault diagnostics---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.
Quality control of production process -- Fault diagnostics
ICS 25.040.40
CCSN19
National Standards of People's Republic of China
Production process quality control fault diagnosis
Published on 2022-04-15
2022-11-01 Implementation
State Administration for Market Regulation
Released by the National Standardization Administration
directory
Preface I
1 Scope 1
2 Normative references 1
3 Terms and Definitions 1
4 Abbreviations 2
5 Troubleshooting process 2
6 Troubleshooting elements 4
6.1 General 4
6.2 Condition monitoring data 4
6.3 Diagnostic knowledge 4
6.4 Failure Mechanism and Failure Mode Analysis 5
7 Troubleshooting method 5
7.1 General 5
7.2 Diagnosis method selection 5
7.3 Quantitative analysis methods 6
7.3.1 General 6
7.3.2 Analytical Model Approach 6
7.3.3 Data-Driven Approach 7
7.4 Qualitative Analysis Methods 7
7.4.1 General 7
7.4.2 Causal Modeling Approach 7
7.4.3 The level of abstraction approach 7
7.4.4 Expert System Approach 8
7.4.5 Qualitative Simulation Methods 8
7.5 Improved diagnostic methods 8
8 System functional requirements8
Appendix A (Informative) Typical Failure Modes 10
Appendix B (Informative) Diagnostic Conclusion Report 11
Appendix C (Informative) Troubleshooting Method Reference 13
Reference 14
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 of Standardization Documents"
drafted.
Please note that some content of this document may be patented. The issuing agency of this document assumes no responsibility for identifying patents.
This document is proposed by China Machinery Industry Federation.
This document is under the jurisdiction of the National Technical Committee on Standardization of Industrial Process Measurement Control and Automation (SAC/TC124).
This document is drafted by. Huazhong University of Science and Technology, Institute of Comprehensive Technology and Economics of Machinery Industry Instrumentation, China University of Petroleum (Beijing), Zhejiang
Jiang Zhongkong Technology Co., Ltd., Dongfeng Design and Research Institute Co., Ltd., Nanchang University, Beijing Lianhua Technology Co., Ltd., Wuxi Vocational Technology
College, China National Tobacco Corporation Staff Training College.
The main drafters of this document. Zhou Chunjie, Wang Kai, Yu Wenguang, Zhang Laibin, Wang Chengcheng, You Heping, He Dingkun, Wang Jinjiang, Huang Wenjun,
Wang Deji, Chen Zhaokun, Wang Chunxi, Liu Jiansheng, Jiao Xiang, Chi Shengwei.
Production process quality control fault diagnosis
1 Scope
This document specifies the equipment fault diagnosis process, diagnosis elements and diagnosis methods for the digital workshop in the field of discrete manufacturing.
This document is intended to guide digital workshops in discrete manufacturing to perform fault diagnosis for quality control of production processes.
2 Normative references
The contents of the following documents constitute essential provisions of this document through normative references in the text. Among them, dated citations
documents, only the version corresponding to that date applies to this document; for undated references, the latest edition (including all amendments) applies to
this document.
GB/T 7826-2012 System Reliability Analysis Technology Failure Mode and Effects Analysis (FMEA) Procedure
GB/T 22394.1-2015 Machine Condition Monitoring and Diagnosis Data Interpretation and Diagnosis Technology Part 1.General Provisions
GB/T 37942-2019 Condition monitoring of quality control equipment in production process
3 Terms and Definitions
The following terms and definitions apply to this document.
3.1
abnormally anomaly
An irregularity or abnormality in a system that deviates from a standard state.
[Source. GB/T 20921-2007, 5.4]
3.2
descriptor descriptor
Data items derived from raw or processed parameters or external observations.
[Source. GB/T 20921-2007, 7.2]
3.3
failure
The device loses the ability to perform a specified function.
NOTE. A failure is an event distinct from a failure, which is a state.
[Source. GB/T 20921-2007, 2.7]
3.4
failuremode
observable failure effects.
[Source. GB/T 20921-2007, 5.6]
3.5
fault
The condition of a component when a component or component of a machine deteriorates or exhibits an abnormal condition that could cause the machine to fail.
Note 1.A failure can be the result of a failure, but there may be a failure without failure.
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