GB/T 42707.2-2024 English PDF

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GB/T 42707.2-2024: Remote operation and maintenance of computer numerical control(CNC) machine tools - Part 2: Fault diagnose and predictive maintenance
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Standard ID	USD	BUY PDF	Lead-Days	Standard Title (Description)	Status
GB/T 42707.2-2024	809	Add to Cart	6 days	Remote operation and maintenance of computer numerical control(CNC) machine tools - Part 2: Fault diagnose and predictive maintenance	Valid

Similar standards

GB/T 19212.5   GB/T 10228   GB/T 25095   GB/T 16896.3   GB/T 16896.1   GB/T 42707.1   

Basic data

Standard ID: GB/T 42707.2-2024 (GB/T42707.2-2024)
Description (Translated English): Remote operation and maintenance of computer numerical control(CNC) machine tools - Part 2: Fault diagnose and predictive maintenance
Sector / Industry: National Standard (Recommended)
Classification of Chinese Standard: K40
Classification of International Standard: 29.020
Word Count Estimation: 40,419
Date of Issue: 2024-10-26
Date of Implementation: 2025-05-01
Issuing agency(ies): State Administration for Market Regulation, China National Standardization Administration

GB/T 42707.2-2024: Remote operation and maintenance of computer numerical control(CNC) machine tools - Part 2: Fault diagnose and predictive maintenance

---This is an excerpt. Full copy of true-PDF in English version (including equations, symbols, images, flow-chart, tables, and figures etc.), auto-downloaded/delivered in 9 seconds, can be purchased online: https://www.ChineseStandard.net/PDF.aspx/GBT42707.2-2024
ICS 29.020 CCSK40 National Standard of the People's Republic of China Remote Operation and Maintenance of CNC Machine Tools Part 2. Fault diagnosis and predictive maintenance Released on October 26, 2024 Implementation on May 1, 2025 State Administration for Market Regulation The National Standardization Administration issued

Table of Contents

Preface V Introduction VI 1 Scope 1 2 Normative references 1 3 Terms and Definitions 1 4 Status Information Collection 2 4.1 Basic Process 2 4.2 Status Information Dictionary 3 4.3 Status Information Collection Method 4 4.4 Data Transmission 4 4.5 Data Preprocessing 4 4.6 Data Storage 5 4.7 Data Management 5 5 Health Status Assessment 5 5.1 Basic Process 5 5.2 Health Status Assessment Level 6 5.3 Health status assessment methods 6 5.4 Health status assessment indicators 7 5.5 Health Status Assessment Report 7 6 Troubleshooting 7 6.1 Basic Process 7 6.2 Fault Diagnosis Methods 8 6.3 Failure Mode Library 9 6.4 Fault Diagnosis Report 10 7 Fault Status Prediction 10 7.1 Basic Process 10 7.2 Prediction Model Construction 10 7.3 Prediction characteristic indicators 11 7.4 Status prediction report 11 Appendix A (Informative) Example of CNC Machine Tool Status Information Collection 12 Appendix B (Informative) Status Information Dictionary Example 15 B.1 Spindle system status information dictionary 15 B.2 Feed system status information dictionary 17 B.3 Tool magazine system status information dictionary 19 Appendix C (Informative) Data Preprocessing Methods 21 C.1 Data normalization method 21 C.2 Data time-frequency domain feature extraction method 21 Appendix D (Informative) Distance Similarity Calculation Method 24 Appendix E (Informative) CNC Machine Tool Fault Tree Example 26 Appendix F (Informative) CNC Machine Tool Fault Mode Library Example 28 Reference 32 Figure 1 Relationship between the various parts of GB/T 42707 VI Figure 2 Schematic diagram of the basic process of status information collection 3 Figure 3 Hierarchical structure of CNC machine tool status information dictionary Figure 4 Basic process of health status assessment 5 Figure 5 Health status assessment level 6 Figure 6 Basic fault diagnosis process 8 Figure 7 Fault mode library construction process 9 Figure 8 Basic process of fault status prediction 10 Figure A.1 Status information acquisition hardware components Figure 12 Figure A.2 Distribution of sensor locations on CNC lathes 12 Figure A.3 Distribution of sensor locations installed on vertical machining centers 13 Figure A.4 Status information collection function 14 Figure E.1 Example of a fault tree for a CNC machine tool 26 Figure E.2 Spindle fault tree example 26 Figure E.3 Feed axis fault tree example 27 Table 1 Status Information Dictionary Entry Structure 3 Table 2 Typical state prediction characteristic indicators of CNC machine tools 11 Table A.1 Distribution of sensor locations on CNC lathes 13 Table A.2 Vertical machining center installation sensor position distribution table 13 Table B.1 Spindle system attribute set description 15 Table B.2 Spindle system status information dictionary entry description 16 Table B.3 Feed system attribute set description 17 Table B.4 Feed system status information dictionary entry description 17 Table B.5 Tool magazine system attribute set description 19 Table B.6 Tool magazine system status information dictionary entry description 20 Table C.1 Time domain feature extraction 21 Table C.2 Frequency domain feature extraction 22 Table C.3 Time-frequency domain feature extraction 23 Table F.1 Spindle system failure mode library example 28 Table F.2 Feed system failure mode library example 29 Table F.3 Tool magazine system fault mode library example 30 Preface 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 2 of GB/T 42707 Remote Operation and Maintenance of CNC Machine Tools. GB/T 42707 has been published in the following parts. --- Part 1.General requirements; --- Part 2.Fault diagnosis and predictive maintenance. 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 by the China Machinery Industry Federation. This document is under the jurisdiction of the National Technical Committee for Standardization of Industrial Machinery Electrical Systems (SAC/TC231). This document was drafted by. Beijing Machine Tool Research Institute Co., Ltd., China University of Petroleum (Beijing), Tsinghua University, National Machine Tool Quality Supervision and Inspection Testing Center, Xi'an Jiaotong University, Newway CNC Equipment (Suzhou) Co., Ltd., Zhejiang Hangji Co., Ltd., Zhejiang Haideman Intelligent Equipment Co., Ltd., Zhongpin Intelligent Machinery Co., Ltd., Jiangxi Jiashite CNC Co., Ltd., Ningbo Tianrui Precision Machinery Co., Ltd., Guangdong Chuangneng Precision Machinery Co., Ltd., Huachen Precision Equipment (Kunshan) Co., Ltd., Chongqing Honggang CNC Machine Tool Co., Ltd., Zhenhuan Machine Machine Tool Group Co., Ltd., Huanghu (Zhejiang) Precision Machine Tool Co., Ltd., Zhongshan Maillet CNC Technology Co., Ltd., Shandong University, Jinan Zhangli Machinery Machinery Co., Ltd., Tengzhou Shandong Dahan Intelligent Technology Co., Ltd., Jiangxi Guangxin New Materials Co., Ltd., Shanghai Nuozhuoli Mechanical and Electrical Technology Co., Ltd., Zhejiang Zhongzhi Jinggong Intelligent Equipment Co., Ltd., Gu'an Aerospace Xingbang Machinery Manufacturing Co., Ltd., Hubei Shenfeng Automobile Spring Co., Ltd. Company, Jugang Precision (Guangdong) Co., Ltd., Primemiller Machine Tool (Dongguan) Co., Ltd., Dongguan Evermi CNC Equipment Technology Co., Ltd. Company, Henan Vocational and Technical College, Ningbo Dekai CNC Machine Tool Co., Ltd., Foshan Demart Intelligent Equipment Technology Co., Ltd., Jiangxi Hengyuan Intelligent Energy Equipment Co., Ltd. The main drafters of this document are. Wang Jinjiang, Xue Ruijuan, Huang Zuguang, Zhang Laibin, Wang Liping, Shao Zhufeng, Zhao Qinzhi, Ji Shuai, Zhang Peisen, Fu Tao, Zhang Fengli, Zhang Ying, Guan Qiang, Jin Zhenggang, Jiang Changye, Liu Hua, Zhu Weiwei, He Yongfang, Xu Caiying, Wang Chuanhong, Jin Yi, Huang Wenbo, Lin Shoujin, Han Jiguang, Huang Chuanqing, Wang Sheng, Tan Yong, Zhao Yafei, Zhang Baosong, Wu Shuihua, Huang Guangjing, Gong Chuangning, Huang Yongsheng, Wang Hui, Wang Zilong, Wang Yan, Zheng Xuegang.

introduction

GB/T 42707 addresses the challenges of collecting status information, health status assessment, fault diagnosis and predictive maintenance for CNC machine tools. Starting from the remote operation and maintenance service function of CNC machine tools, based on the research results of machine tool status information collection and remote operation and maintenance technology, a CNC Technical requirements for remote operation and maintenance of machine tools, status information collection, health status assessment, fault diagnosis and predictive maintenance method guidelines, etc. Guide the research and application of remote operation and maintenance technology in the machine tool industry. GB/T 42707 is intended to consist of two parts (as shown in Figure 1). --- Part 1.General requirements. Provides guidance on the overall architecture and general technical requirements for remote operation and maintenance of CNC machine tools. Development and application of remote operation and maintenance platform for CNC machine tools. --- Part 2.Fault diagnosis and predictive maintenance. For CNC machine tool status information collection, health status assessment, fault diagnosis and predictive maintenance The process and method of operation and maintenance service functions such as predictive maintenance are proposed, aiming to provide a platform for CNC machine tool status information collection, health status assessment, fault Provide basis and guidance for fault diagnosis and predictive maintenance. Figure 1 Relationship between the various parts of GB/T 42707 Remote Operation and Maintenance of CNC Machine Tools Part 2. Fault diagnosis and predictive maintenance 1 Scope This document specifies the status information collection, health status assessment, The basic processes and methods of the four core functions of fault diagnosis and predictive maintenance. This document is intended to guide the development of remote operation and maintenance services and enabling platforms for CNC machine tools (including spindle systems, feed systems, and tool magazine systems). Development and application. 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. GB/T 9061 General technical requirements for metal cutting machine tools GB/T 31916.1-2015 Information technology Cloud data storage and management Part 1.General GB/T 33863.3 OPC Architecture Unification Part 3.Address Space Model GB/T 33863.5 OPC Architecture Unification Part 5.Information Model GB/T 42707.1-2023 Remote operation and maintenance of CNC machine tools Part 1.General requirements 3 Terms and Definitions The terms and definitions defined in GB/T 42707.1-2023 and the following apply to this document. 3.1 The process of obtaining information that can reflect the operating status of CNC machine tools by adding sensors, CNC systems, servo drives or other means. 3.2 attribute set attributeset A collection of one or more attributes of a CNC machine tool, describing the state information attributes of the CNC machine tool. [Source. GB/T 39561.2-2020, 3.1.2, modified] 3.3 staticattributeset An attribute set containing data that does not change or changes infrequently after it is determined. [Source. GB/T 39561.2-2020, 3.1.3, modified] 3.4 dynamicattributeset A type of attribute set that contains data that appears or changes frequently during the operation of a CNC machine tool. ......

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