The national standard is an important result of standardization work in the field of predictive maintenance, providing a “ruler” for measuring the level of predictive maintenance technology, and providing a “letter of credit” and “passport” for its promotion and application. Before this, although predictive maintenance technology is a typical application of artificial intelligence technology in the field of intelligent manufacturing, the accuracy, effectiveness and applicability of its algorithms and models are difficult to be scientifically and reasonably evaluated. Since 2022, the GB working group has tested different categories of algorithms such as machine learning and expert systems according to the test methods for accuracy, accuracy, recall and other indicators stipulated in the standard, further verifying the evaluation process, evaluation system and evaluation method stipulated in the standard. After more than a year of discussion and modification, the development and release of the national standard was finally completed. In parallel with the formulation of the National Standard, the working group also declared the international standard Intelligent service – Predictive maintenance – Algorithm verification method. The standard achievements with China’s independent intellectual property rights will be promoted to the international community, and the right to speak of international standards will be further seized.
SKF participates in the International Standards conference “Predictive Maintenance of Industrial Automation Equipment and Systems”
SKF participates deeply to promote the development of the industry

As a technology leader in the intelligent operations industry, SKF is deeply involved in the development of international and national standards for predictive maintenance. Based on the perfect data and rich knowledge base and algorithm library, mature intelligent operation and maintenance tools and products, SKF has strongly supported the development and release of a number of national standards such as predictive maintenance general requirements algorithm evaluation, virtual maintenance

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efficiency evaluation. Among them, in terms of sharing SKF professional data management system, through the SKF AKS (Asset Knowledge Science) and IMS (IntelligentMaintenanceSystem) sharing of taxonomy, SKF provided reference suggestions for the construction of the predictive maintenance data management scheme and system involved in the standard, and synchronically improved the database standardization in the SKF IMS scenario. In terms of helping to set evaluation processes, indicators and tools, through the discussion and sharing of SKF predictive maintenance platform, algorithms and evaluation architecture, SKF provides a practical reference for the construction of the evaluation process, system, indicators and tool set of the standard, and simultaneously promotes the standardization, modularization, process and open evolution of SKF intelligent algorithms. In addition, in terms of helping to create data sets that are closer to actual scenarios, SKF also makes the construction of predictive maintenance standardized databases closer to the field through the verification sharing of data sets from the application scenarios of the two algorithms covering condition monitoring and fault diagnosis, making predictive maintenance algorithm testing and verification more practical.
Open interconnection, SKF reconfiguration rotation new definition
All along, SKF has been relying on deep technical accumulation, actively build the digital intelligence world of rotating Internet of things, with a hundred years of rotating design and application experience, full life cycle maintenance experience, closed-loop cases, combined with field artificial intelligence, to achieve more reliable intelligent operation and maintenance solutions. At the end of 2023, SKF China Intelligence team developed a new intelligent operation and maintenance solution SKF Insight® Cloud Image Intelligent operation and maintenance system. It is the integration of SKF’s classic domain knowledge and advanced artificial intelligence technology, with five characteristics of openness, professionalism, intelligence, flexibility and security. Yuntu Intelligent operation and maintenance system is widely compatible with multi-vendor data acquisition solutions, integrates bearing and equipment physical models, intelligent data models, expert analysis tools, operation and maintenance knowledge and other best practices, and can easily integrate seamlessly with production management systems, industrial Internet platforms and other intelligent manufacturing systems through apis.