Rolling bearing fault diagnosis method based on data-driven random fuzzy evidence acquisition and Dempster–Shafer evidence theory

Keypoint descriptor fusion with Dempster–Shafer theory

(2015) V.M. Mondéjar-Guerra et al.   INTERNATIONAL JOURNAL OF APPROXIMATE REASONING

A Dynamic Integrated Fault Diagnosis Method for Power Transformers

(2015) Wensheng Gao et al.   TheScientificWorldJOURNAL

A Dynamic Integrated Fault Diagnosis Method for Power Transformers

(2015) Wensheng Gao et al.   Scientific World Journal

Rolling bearing fault diagnosis approach using probabilistic principal component analysis denoising and cyclic bispectrum

(2014) Bingzhen Jiang et al.   JOURNAL OF VIBRATION AND CONTROL

Application of D-S Evidence Fusion Method in the Fault Detection of Temperature Sensor

(2014) Zheng Dou et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Fault diagnosis of rolling bearing based on empirical mode decomposition and higher order statistics

(2014) Jian-hua Cai   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

Vibration Sensor-Based Bearing Fault Diagnosis Using Ellipsoid-ARTMAP and Differential Evolution Algorithms

(2014) Chang Liu et al.   SENSORS

Using multi-sensor data fusion for vibration fault diagnosis of rolling element bearings by accelerometer and load cell

(2013) M.S. Safizadeh et al.   Information Fusion

A novel experimental research on vibration characteristics of the running high-speed motorized spindles

(2013) Wentao Shan et al.   Journal of Mechanical Science and Technology

Fuzzy reasoning spiking neural P system for fault diagnosis

(2012) Hong Peng et al.   INFORMATION SCIENCES

Bearing fault diagnosis based on the dimension–temporal information

(2011) D D Zhang   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY