The sixth session of industrial predictive maintenance standard promotion and intelligent application advanced training · Beijing station is coming

As the first "Industrial Predictive Maintenance Standard Promotion and Intelligent Application Advanced Training" in China, our fifth training session was successfully held in Shanghai on April 29-30 (for details, please see the review of the Shanghai station to understand the feedback from the trainees) .

When the summer season arrives in early May, the sixth training session will start as scheduled. The "expert team" that has been widely praised by students will reunite in Beijing on May 27-28 to bring everyone high-quality "dry goods" content on industrial intelligence and predictive maintenance.

In 2019, the first national standard for predictive maintenance, General Requirements for Predictive Maintenance of Intelligent Services, was approved . In the same year, IEC/SC65E (Equipment and Integration in Enterprise Systems) voted to approve the international standard proposal for Predictive Maintenance of Industrial Automation Equipment and Systems proposed by China, and formed a standard working group convened by Senior Engineer Wang Chengcheng, Director of the Standardization Office of the Institute of Instrumentation and Integrated Systems. Technical experts from Germany, the United Kingdom, Italy, Austria, South Korea, Japan and other countries participated. The international standardization results were also successfully selected into the Annual Report on the Development of Standardization in China (2019) issued by the National Standardization Administration. At present, the first national standard for predictive maintenance is about to be released, and international standards are also being steadily formulated.

In May 2021, the National Standardization Administration officially issued the standard formulation plan for "Prediction Algorithms and Models for Predictive Maintenance of Intelligent Services" (Plan No.: 20210705-T-604). This standard will conduct standardized technical research on prediction algorithms and models for predictive maintenance, aiming to improve the accuracy of fault diagnosis and life prediction by standardizing the development, testing and evaluation of prediction algorithms and models, and promote the implementation of predictive maintenance technology.

This standard was formulated by the Mechanical Industry Instrumentation and Metering Comprehensive Technical and Economic Research Institute (hereinafter referred to as the Instrumentation and Metering Institute) and is under the jurisdiction of the National Industrial Process Measurement, Control and Automation Standardization Technical Committee (SAC/TC124).