A rule-based classifier ensemble for fault diagnosis of rotating machinery

Low-speed rolling bearing fault diagnosis based on EMD denoising and parameter estimate with alpha stable distribution

(2017) Qing Xiong et al.   Journal of Mechanical Science and Technology

Comparison of four direct classification methods for intelligent fault diagnosis of rotating machinery

(2016) Dongyang Dou et al.   APPLIED SOFT COMPUTING

Wheel-bearing fault diagnosis of trains using empirical wavelet transform

(2016) Hongrui Cao et al.   MEASUREMENT

Soft-Sensor Modeling for Separation Performance of Dense-Medium Cyclone by Field Data

(2015) Dongyang Dou et al.   International Journal of Coal Preparation and Utilization

A novel distribution rate predicting method of dense medium cyclone in the Taixi coal preparation plant

(2015) Dongyang Dou et al.   INTERNATIONAL JOURNAL OF MINERAL PROCESSING

Fault diagnosis of rolling bearing based on second generation wavelet denoising and morphological filter

(2015) Lingjie Meng et al.   Journal of Mechanical Science and Technology

Rolling bearing fault diagnosis under variable conditions using LMD-SVD and extreme learning machine

(2015) Ye Tian et al.   MECHANISM AND MACHINE THEORY

Fuzzy lattice classifier and its application to bearing fault diagnosis

(2012) Bing Li et al.   APPLIED SOFT COMPUTING

A rule-based intelligent method for fault diagnosis of rotating machinery

(2012) Dongyang Dou et al.   KNOWLEDGE-BASED SYSTEMS

Application of cepstrum pre-whitening for the diagnosis of bearing faults under variable speed conditions

(2012) P. Borghesani et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine

(2008) Achmad Widodo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Feature-based classifier ensembles for diagnosing multiple faults in rotating machinery

(2007) E. Zio et al.   APPLIED SOFT COMPUTING