The so-called “smartization” of manufacturing industries has been conceived as the fourth
industrial revolution or Industry 4.0, a paradigm shift propelled by the upsurge and …

Recent advances in artificial intelligence (AI) and data analytics (DA) could provide
opportunities for the fault management and the decision-making of the urban wastewater …

Construction of an intelligent Health Indicator (HI) that can accurately describe the
degradation process is a prerequisite to accelerating the development of an automatic …

Health prognosis of rolling bearing is of great significance to improve its safety and
reliability. This paper presents a novel health prognosis method for the rolling bearing based …

In recent years, fault detection and diagnosis for industrial processes have been rapidly
developed to minimize costs and maximize efficiency by taking advantages of cheap …

Rolling bearing health prognosis is helpful to improve the operation efficiency and security
of rotating machinery. In this paper, a modified health index based hierarchical gated …

In response to the high demand of the operation reliability and predictive maintenance,
health monitoring and fault diagnosis and classification have been paramount for complex …

The integration of large-scale renewable energy forces the operating conditions of gas
turbines to change more frequently to maintain the stability of electricity grid. This makes gas …

Abstract Machine learning (ML) models are widely used methods for analyzing data from
sensors and satellites to monitor climate change, predict natural disasters, and protect …

In the actual industrial process, the distribution of historical training data and online testing
data is always different due to the switching of operating modes and changes in climate …