GB/T 42983.2-2023 English PDF

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GB/T 42983.2-2023: Industrial robots - Operation and maintenance - Part 2: Fault diagnosis
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Basic data

Standard ID: GB/T 42983.2-2023 (GB/T42983.2-2023)
Description (Translated English): Industrial robots - Operation and maintenance - Part 2: Fault diagnosis
Sector / Industry: National Standard (Recommended)
Classification of Chinese Standard: L67
Classification of International Standard: 25.040.30
Word Count Estimation: 10,169
Date of Issue: 2023-09-07
Date of Implementation: 2024-04-01
Issuing agency(ies): State Administration for Market Regulation, China National Standardization Administration

GB/T 42983.2-2023: Industrial robots - Operation and maintenance - Part 2: Fault diagnosis

---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 25.040.30 CCSL67 National Standards of People's Republic of China Industrial robot operation and maintenance Part 2.Troubleshooting Published on 2023-09-07 2024-04-01 Implementation State Administration for Market Regulation Released by the National Standardization Administration Committee

Table of contents

PrefaceⅠ Introduction II 1 Scope 1 2 Normative reference documents 1 3 Terms and Definitions 1 4 Industrial robot fault diagnosis process 2 5 Online fault alarm 3 5.1 Based on control bus 3 5.2 Based on additional sensors 3 6 Offline testing and diagnosis 3 6.1 Offline test and diagnosis process 3 6.2 Offline testing 4 6.3 Offline Diagnosis 4 Appendix A (informative) Control abnormal alarm mechanism information 5 Reference 7

Foreword

This document complies with the provisions of GB/T 1.1-2020 "Standardization Work Guidelines Part 1.Structure and Drafting Rules of Standardization Documents" Drafting. This document is Part 2 of GB/T 42983 "Industrial Robot Operation and Maintenance". GB/T 42983 has released the following parts. ---Part 1.Online monitoring; ---Part 2.Troubleshooting; ---Part 3.Health Assessment; ---Part 4.Predictive maintenance. Please note that some content in this document may be subject to patents. The publisher 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 Robot Standardization Technical Committee (SAC/TC591). This document was drafted by. Tianjin University, Beijing Institute of Machinery Industry Automation Co., Ltd., Ministry of Industry and Information Technology Electronics Fifth Research Institute, Aobo (Jiangsu) Robot Co., Ltd., Xi'an Jiaotong University, Beijing University of Technology, Wuhu Ruisi Robot Co., Ltd., Tianjin Tyson CNC Technology Co., Ltd., Jilin University, Eft Intelligent Equipment Co., Ltd., Beijing University of Chemical Technology, Foshan Wasu Robot Co., Ltd. The company has Co., Ltd., Zhejiang Qianjiang Robot Co., Ltd., Foshan Longshen Robot Co., Ltd., Tsinghua University, Harbin Institute of Technology Robot (Hefei) International Innovation Research Institute, Hangzhou Yiheng Technology Co., Ltd., Shenyang Xinsong Robot Automation Co., Ltd., Shanghai Jiao Tong University, Huazhong University of Science and Technology, KUKA Robot (Shanghai) Co., Ltd., Dongguan Liqun Automation Technology Co., Ltd., Changzhou Inspection and Testing Standards Certification Research Institute. Drafters of this document. Wang Guofeng, Lei Yaguo, Wang Yuanhang, Yang Shuping, Tang Jing, Mei Jiangping, Wang Taiyong, Wu Xing, Li Naipeng, Zhou Jian, Hu Mantang, Wang Peng, Zhang Xudong, Yang Kai, Guo Shuyan, Xiao Yongqiang, Song Zhongkang, Wang Huaqing, Xu Yonggang, Cui Lingli, He Jialong, Li Guofa, Tang Gang, Yi Tinghao, Liu Lei, Cao Junyi, Wang Yong, Ning Nanbei, Zhou Wenbiao, Wu Di, Wang Tianyang, Xu Bin, Wu Tonghai, Lu Na, Ding Xiaojian, Wang Chunhui, Wu Jun, Pan Guangze, Wang Ji, Yang Jianfeng, Li Xiaobing, Huang Chuangmian, Shang Bin, Hu Xianghong, Lu Shuhan, Zhao Changjun, Zhou Xing, Tao Jianfeng, Yang Yunfan, Guo Guangkuo, Meng Linghui, Mo Wen'an, Chen Bochen, Peng Xiangtao, Zhang Jianhua, Zhang Feng, Xu Xiaodan, Wang Hong, Guan Zhigang.

Introduction

Industrial robots are irreplaceable and important equipment in advanced manufacturing and play an important role in supporting intelligent manufacturing and improving production efficiency. To work. Problems such as lack of industrial robot operation and maintenance standards, lag, and lack of systematicity will lead to difficulties in unifying technical requirements and insufficient product quality. The lack of guarantee affects the rapid development of the industry. GB/T 42983 "Industrial Robot Operation and Maintenance" carries out operation and maintenance by monitoring the status of industrial robots to improve industrial robots It is planned to be composed of four parts to ensure operational reliability, protect user interests, and enhance the value of industry maintenance services. ---Part 1.Online monitoring. The purpose is to standardize and determine the terminology, monitoring parameter types, and monitoring items for online monitoring of industrial robots. objectives and monitoring methods, etc. ---Part 2.Troubleshooting. The purpose is to standardize and determine the industrial robot fault diagnosis process, online fault alarm and offline testing. Try waiting. ---Part 3.Health Assessment. The purpose is to standardize and determine the health assessment process, health assessment system and health assessment of industrial robots Methods etc. ---Part 4.Predictive maintenance. The purpose is to standardize and determine the objects, prediction methods, and maintenance plans of industrial robot predictive maintenance. planning and management processes, etc. Industrial robot operation and maintenance Part 2.Troubleshooting

1 Scope

This document stipulates the industrial robot fault diagnosis process, online fault alarm, offline test and diagnosis, etc. This document is suitable for fault diagnosis of industrial robots.

2 Normative reference documents

The contents of the following documents constitute essential provisions of this document through normative references in the text. Among them, the dated quotations For undated referenced documents, only the version corresponding to that date applies to this document; for undated referenced documents, the latest version (including all amendments) applies to this document. GB/T 2298-2010 Mechanical vibration, impact and condition monitoring vocabulary GB/T 19873.2-2009 Machine condition monitoring and diagnosis Vibration condition monitoring Part 2.Vibration data processing, analysis and describe GB/T 22394.1-2015 Machine condition monitoring and diagnostic data interpretation and diagnostic technology Part 1.General principles GB/T 25889-2010 Acoustic emission for machine condition monitoring and diagnosis GB/T 29716.1-2013 Mechanical vibration and impact signal processing Part 1.Introduction GB/T 42983.1-2023 Industrial robot operation and maintenance Part 1.Online monitoring

3 Terms and definitions

The following terms and definitions as defined in GB/T 2298-2010 and GB/T 19873.2-2009 apply to this document. 3.1 fault fault A state in which a system or component cannot perform a specified function. 3.2 anomaly Industrial robot systems or components deviate from standard conditions. [Source. GB/T 20921-2007,5.4] 3.3 onlineonline Industrial robot is in operation. 3.4 offlineoffline Industrial robots are out of production and not working. ......

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