GB/T 45507-2025Intelligent service — Performance evaluation method of predictive maintenance (English PDF)

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.

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 Industrial Process Measurement, Control and Automation Standardization Technical Committee (SAC/TC124).

This document was drafted by: Mechanical Industry Instrumentation Comprehensive Technical and Economic Research Institute, Frequency Exploration Intelligent Technology Jiangsu Co., Ltd., Weichai Power Co., Ltd., Beijing Institute of Technology, Tsinghua University, Beijing Jiaotong University, CGN Research Institute Co., Ltd., China University of Petroleum (Beijing Beijing), Wuhan Dongyan Smart Design Institute Co., Ltd., CNOOC Safety Technology Service Co., Ltd., Siemens (China) Co., Ltd., Sky Fu (China) Co., Ltd., Shanghai Electric Group Co., Ltd., Chongqing University of Posts and Telecommunications, Luculent Smart Technology Co., Ltd., Shanghai Huaxing Digital Technology Co., Ltd., University of Electronic Science and Technology of China, Beijing Benz Automotive Co., Ltd., Beijing Tianze Zhiyun Technology Co., Ltd., Southwest Jiaotong University Institute of Physical Science, Chinese Academy of Sciences, Beijing Institute of Satellite Environment Engineering, Beijing University of Posts and Telecommunications, Qingdao Mingsiwei Technology Co., Ltd.

Hangzhou Sanhai Electronic Technology Co., Ltd., Beijing Jiaodongli Technology Co., Ltd., Shuocheng (Xiamen) Technology Co., Ltd., China Engineering Materials Power Department of the Institute of Science and Technology, Schaeffler (China) Co., Ltd., Phoenix (China) Investment Co., Ltd., Schneider Electric (China) Co., Ltd., Chongqing Mengxun Electronic Technology Co., Ltd., the Fifth Electronic Research Institute of the Ministry of Industry and Information Technology, Nanjing Phoenix Contact Co., Ltd., Wuhan Zhongyun Kangchong Technology Co., Ltd., China Railway Engineering Equipment Group Co., Ltd., Nanjing High-precision Gear Group Co., Ltd., Aerospace Intelligent Control (Beijing) Monitoring Technology Technology Co., Ltd., Xi'an Yinlian Information Technology Co., Ltd., China National Electric Equipment Group Science and Technology Research Institute Co., Ltd., Wuhan University, Shanghai Dazhi Technology Co., Ltd., Shanghai Hangshu Intelligent Technology Co., Ltd., FAW Jiefang Automobile Co., Ltd., Tsinghua University Shanxi Clean Energy Research Institute Institute of Science and Technology, Hangzhou Anmaisheng Intelligent Technology Co., Ltd., Shanghai University of Technology, Sinochem Huayi Engineering Technology Group Co., Ltd., Chinese Academy of Sciences Shenyang Automation Research Institute, Beijing Xinliantie Group Co., Ltd., Dandong Huatong Measurement and Control Co., Ltd., Liaoning University, China Special Equipment Inspection Institute of Measurement and Testing, Central South University, Anhui Rongzhi Rixin Technology Co., Ltd., Fuzhou Xinan Intelligent Technology Co., Ltd., Shenzhen Shuanghe Smart Technology Technology Co., Ltd., Beijing Huakong Zhijia Technology Co., Ltd., Dalian University of Technology, Shandong Energy Digital Cloud Technology Co., Ltd., Wuxi Hou German Instrument Technology Research Institute Co., Ltd., Beijing Aerospace Measurement and Control Technology Co., Ltd., Xi'an Huayun Zhilian Information Technology Co., Ltd., Shanghai Steam Turbine Machinery Factory Co., Ltd., Shijiazhuang Railway University.

The main drafters of this document are: Wang Chengcheng, Wang Kai, Yi Xiaojian, Zhang Feibin, Zhou Linfei, Zhang Kaihuan, Qin Yong, Zhu Chao, Huang Qingqing, Wang Jinjiang, Huang Chenguang, Jin Chao, Huang Ziping, You Heping, Wang Min, Li Zhe, Qin Taichun, Tan Hongzhi, Guo Liang, Hu Jieying, Wang Biao, Guo Dongdong, Tang Huan, Zhang Zuchao, Zuo Mingjian, Shen Deji, Wu Zhenyu, Qiao Jingyu, Qu Qianshang, Meng Li, An Huiping, Song Peng, Chang Guangzhong, Jiang Ningtao, Chen Jing, Tang Bo, Ding Xiaojian, Yang Ming, Wang Peng, Cui Baozhou, He Qi, Jia Lianhui, Tang Li, Yang Sheng, Gong Songjian, Wang Peng, Hu Yong, Tian Qin, Guo Jiang, Xu Wei, Hu Peng, Yang Bingchun, Li Yiwen, Zhao Xu, Zhang Xiao, Zhang Zhiyong, Xu Bin, Jiang Lijie, Zhang Jiwang, Wang Kai, Li Yun, Zhang Yang, Song Yan, Li Hongkun, Wang Kai, Liu Jia, Weng Liang, Wang Zhongfeng, Ma Bing, Wang Peng, Yuan Fang, Wang Xiangxiang, Wu Jun, Zhang Haiyun, Ren Zhigang, Fei Qiang, Fang Hongzheng, Wen Yongliang, Du Wenbo, Wang Yongnian, Huang Jinfeng, Yu Yaoxiang, Fanlei Meng, Yan Zhang, Jie Yu, Zechao Liu, Fengdan Li.

Performance evaluation method for predictive maintenance of intelligent services

1 Scope

This document specifies the performance evaluation index system and performance evaluation process for predictive maintenance of industrial equipment.

This document is applicable to manufacturers, users, solution providers and third parties to implement predictive maintenance of industrial equipment to determine its effectiveness and value. Calculation and improvement.

2 Normative references

GB/T 40571-2021

GB/T 43555-2023

3 Terms and definitions

The terms and definitions defined in GB/T 40571-2021, GB/T 43555-2023 and the following apply to this document.

4 General

This document is based on the evaluation of the complete equipment maintenance process and constructs a performance evaluation index system and evaluation method.