Multi-sensor data fusion for rotating machinery fault detection using improved cyclic spectral covariance matrix and motor current signal analysis

J Guo, Q He, D Zhen, F Gu, AD Ball - Reliability Engineering & System …, 2023 - Elsevier
When an abnormal situation occurs in rotating machinery, fault feature information may be
scattered on multiple sensors, and fault feature extraction through a single sensor is not …
被引用次数：28 相关文章

Multi-sensor data fusion for rotating machinery fault detection using improved cyclic spectral covariance matrix and motor current signal analysis

J Guo, Q He, D Zhen, F Gu, AD Ball - Reliability Engineering and …, 2023 - ideas.repec.org
When an abnormal situation occurs in rotating machinery, fault feature information may be
scattered on multiple sensors, and fault feature extraction through a single sensor is not …

Multi-sensor Data Fusion for Rotating Machinery Fault Detection Using Improved Cyclic Spectral Covariance Matrix and Motor Current Signal Analysis

J Guo, Q He, D Zhen, F Gu, A Ball - Reliability Engineering and …, 2023 - pure.hud.ac.uk
When an abnormal situation occurs in rotating machinery, fault feature information may be
scattered on multiple sensors, and fault feature extraction through a single sensor is not …

Multi-sensor data fusion for rotating machinery fault detection using improved cyclic spectral covariance matrix and motor current signal analysis

J Guo, Q He, D Zhen, F Gu… - … Engineering and System …, 2023 - econpapers.repec.org
When an abnormal situation occurs in rotating machinery, fault feature information may be
scattered on multiple sensors, and fault feature extraction through a single sensor is not …