Abstract Machine Learning (ML) is a branch of artificial intelligence that studies algorithms
able to learn autonomously, directly from the input data. Over the last decade, ML …

Data analytics in massive manufacturing data can extract huge business values while can
also result in research challenges due to the heterogeneous data types, enormous volume …

The nature of manufacturing systems faces ever more complex, dynamic and at times even
chaotic behaviors. In order to being able to satisfy the demand for high-quality products in an …

The hydraulic axial piston pump is the power heart of the hydraulic transmission system in
aerospace equipment and industrial filed. Its stable operation will directly affect the safety …

The increasing numbers of public and private hospitals have resulted in the competitive
environment in healthcare industry. This situation needs cooperation and support from the …

With the advancement of industrial systems, fault monitoring and diagnosis methods based
on the data-driven attract much attention in recent years. This kind of methods are widely …

The fault monitoring and diagnosis of industrial machineries are very significant in Industry
4.0 revolution but are often complicated and labour intensive. The application of artificial …

Fault diagnosis methods for rotating machinery have always been a hot research topic, and
artificial intelligence-based approaches have attracted increasing attention from both …

Fault diagnosis, with the aim of accurately identifying the presence of various faults as early
as possible so at to provide effective information for maintenance planning, has been …

Digital twin (DT) is a key technology for realizing the interconnection and intelligent
operation of the physical world and the world of information and provides a new paradigm …