Identifying the abnormal samples from a data set and determining their type are two key
tasks of anomaly detection. However, the existing anomaly detection algorithms are …

Against the backdrop of ecological conservation and high-quality development in the
Yangtze River Basin, there is an increasing demand for enhanced water pollution …

Centrifugal blowers are easy to get faults due to the harsh working environment, and
appropriate fault early warning is of great significance for predictive maintenance …

Hydraulic turbines constitute an essential component within the hydroelectric power
generation industry, contributing to renewable energy production with minimal …

This research contributes to the field of reliability engineering and system safety by
introducing an innovative diagnostic method to enhance the reliability and safety of complex …

Hydroelectric power plants (HEPPs) are renewable energy power plants with the highest
installed power in the world. The control systems are responsible for stopping the relevant …

The boiler is an essential energy conversion facility in a thermal power plant. One small
malfunction or abnormal event will bring huge economic loss and casualties. Accurate and …

摘要针对当前发电厂在线监测系统设备报警即故障的问题, 提出一种基于余弦相似性的电力设备
智能预警方法. 基于发电厂远程诊断平台提供的设备监测数据驱动, 根据设备特征参量 …

The global energy demand is still primarily reliant on fossil-fueled thermal power plants. With
the growing share of renewables, these plants must frequently adjust their loads …

Aiming at the problems of massive, high-dimensional, nonlinear, and strong noise data
during operation, this article proposes a fault diagnosis method of ultra-supercritical (USC) …