Fault Diagnosis and Fault Tolerant Control Methods for Manned and Unmanned Helicopters: A Literature Review [PDF]
With the development of unmanned helicopters, the dependability of helicopters have attracted more and more attention of many researchers. In order to deal with these problems, fault diagnosis and fault tolerant control methods were used for manned or ...
Qi JT(齐俊桐) +7 more
core
Data-driven approach to machine condition prognosis using least square regression trees [PDF]
Machine fault prognosis techniques have been considered profoundly in the recent time due to their profit for reducing unexpected faults or unscheduled maintenance.
Tran, Van Tung
core
A Novel Approach for Efficient Solar Panel Fault Classification Using Coupled UDenseNet. [PDF]
Pamungkas RF, Utama IBKY, Jang YM.
europepmc +1 more source
Time-Frequency Distribution For Automatic Fault [PDF]
A new method of fault analysis and detection by signal classification in industrial frequency converters is presented. The WignerVille time frequency distribution is used to produce the representation of the signal and the probabilistic neural network as
T. Lobos +3 more
core
Multi-Fault Classification and Diagnosis of Rolling Bearing Based on Improved Convolution Neural Network. [PDF]
Zhang X, Li J, Wu W, Dong F, Wan S.
europepmc +1 more source
Automated Battery Making Fault Classification Using Over-Sampled Image Data CNN Features. [PDF]
Din NU, Zhang L, Yang Y.
europepmc +1 more source
BA-ELM Gear Fault Diagnosis Method based on Energy Feature of Wavelet Packet Optimal Node
In order to solve the problems that gear fault classification model has weak generalization ability,poor accuracy causing by the fault features of gear is difficult to extract and extreme learning machine input weights and threshold of hidden layer nodes
Qin Bo +4 more
doaj
Tomek Link and SMOTE Approaches for Machine Fault Classification with an Imbalanced Dataset. [PDF]
Swana EF, Doorsamy W, Bokoro P.
europepmc +1 more source
Fault classification system for computer networks using fuzzy probabilistic neural network classifier (FPNNC) [PDF]
Mo Adda +3 more
core +2 more sources
Intelligent Fault Diagnosis System using BEMD based Thermal Image Enhancement And Support Vector Machines [PDF]
This study proposes an investigation of a novel thermal image enhancement based on bi-dimensional empirical mode decomposition (BEMD) and applies this method for rotating machinery fault diagnosis system.
Tran, Van Tung
core

