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Delivery: <= 4 days. True-PDF full-copy in English will be manually translated and delivered via email. GB/T 41397-2022: Quality control of production process - Fault diagnostics Status: Valid
Basic dataStandard 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 forewordThis 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 diagnosis1 ScopeThis 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 referencesThe 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 process3 Terms and DefinitionsThe 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. ......Tips & Frequently Asked Questions:Question 1: How long will the true-PDF of GB/T 41397-2022_English be delivered?Answer: Upon your order, we will start to translate GB/T 41397-2022_English as soon as possible, and keep you informed of the progress. The lead time is typically 2 ~ 4 working days. The lengthier the document the longer the lead time.Question 2: Can I share the purchased PDF of GB/T 41397-2022_English with my colleagues?Answer: Yes. The purchased PDF of GB/T 41397-2022_English will be deemed to be sold to your employer/organization who actually pays for it, including your colleagues and your employer's intranet.Question 3: Does the price include tax/VAT?Answer: Yes. 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