With the rapid advancement of sensor and network technology, there has been a notable
increase in the availability of condition-monitoring data such as vibration, temperature …

This paper reviews existing data-driven methods according to three criteria: the properties of
the method, the impact of the systems through which the disturbance propagates on the …

This article is devoted to solving the problem of quality-related root cause diagnosis for
nonlinear process. First, an orthogonal kernel principal component regression model is …

故障根源诊断与传播路径识别是故障诊断框架下的关键核心问题, 是保障工业过程安全生产及
获得可靠产品质量的有效手段, 是当前过程控制领域的研究热点. 该技术的研究不仅丰富了故障 …

As fault detection technologies have been developed, process fault diagnosis at early
abnormal stage has come to be considered a major problem. In this work, a method to …

As the first protective layer for modern complex industrial processes, process monitoring and
fault diagnosis (PM-FD) systems play a vital role in ensuring product quality, overall …

As the modern industry develops, fault identification and root cause analysis in industries
have become a significant problem. In this work, a new framework is developed to analyze …

Granger causality (GC) analysis is a widely used method in root cause diagnosis; however,
the current GC-based method has deficiencies that need to be improved. Causality exists in …

The utilization of Micro-electromechanical Systems (MEMS) sensors is widespread for
directly detecting attitude angles, such as Accelerometer, Gyro, and Magnetometer readings …

Background Plant-wide oscillations are commonly observed in industrial processes and can
have significant impacts on product quality and energy consumption. Accurately diagnosing …