Engineering and manufacturing processes and systems designs involve many challenges,
such as dynamism, chaotic behaviours, and complexity. Of late, the arrival of big data, high …

In a dynamic and rapidly changing world, customers' often conflicting demands have
continued to evolve, outstripping the ability of the traditional factory to address modern-day …

Multi-sensor data fusion is a feasible technique to achieve accurate and robust results in
fault diagnosis of rotating machinery under complex conditions. However, the problem of …

Real time monitoring of manufacturing processes using a single sensor often poses
significant challenge. Sensor fusion has thus been extensively investigated in recent years …

动力系统作为整个船舶最核心的系统, 其安全性和可靠性将直接影响船舶的安全航行,
而有效的故障监测与诊断技术是保障航行安全的重要手段. 首先, 通过分析国内外学者在智能 …

Fault detection and classification is based on the idea that can detect changing conditions
within equipment. The techniques for detecting faults can be distinguished as a pattern …

航空发动机主轴轴承承受着高温, 高速, 重载, 贫油, 断油等极端工况, 其疲劳,
磨损等失效问题严重影响发动机的可靠性. 因此, 对航空发动机主轴轴承的使用状态进行有效 …

Supervised learning has been developed to collect condition monitoring (CM) data for fault
diagnosis and prognosis. However, labeling the condition monitoring data is expensive due …

In the manufacturing industry, for example, the pharmaceutical industry, a thorough
understanding of the process is necessary in addition to a properly designed monitoring and …

Prognostics and health management (PHM) is a widely used effective discipline consisting
of advanced technologies and methods to assess the reliability of a system under its actual …