Results 91 to 100 of about 35,178 (215)

Bearing Fault Diagnosis Based on Vibration Envelope Spectral Characteristics

Applied Sciences
Deep learning methods based on neural network models have been widely applied to bearing fault classification. Although they can achieve high accuracy, they also come with significant complexity.
Yang Chen, Qifu Chen, Rui Wang
doaj   +1 more source

Fracture characteristics from two reactivated basement fault zones: examples from Norway and Shetland [PDF]

, 2001
Detailed analyses of fracture attributes developed in basement rocks associated with two, crustal-scale faults, have enabled the characteristics and evolution of the fracture system geometry to be documented quantitatively.
Sleight, Janine Michelle
core  

A novel fuzzy classification solution for fault diagnosis

J. Intell. Fuzzy Syst., 2004
Summary: This paper introduces a novel fuzzy classification methodology for fault diagnosis. The main advantages of the proposed fuzzy classifier are the high accuracy of defining the areas corresponding to different categories and the fine precision of discrimination inside overlapping areas.
Bocaniala, C, da Costa, J, Palade, V
openaire   +3 more sources

Fault Classification and Localization in Power Transmission Lines Using LSTM and Vibration Data Analysis

NTU Journal of Engineering and Technology
The precise classification and localization of faults in power transmission lines are very important to ensure grid stability and to minimize service interruptions. Traditional methods of fault detection frequently have difficulty with complicated fault
Enas Ali Ahmed, Muna Hassan Hussein, Mohammed Talal Ghazal   +2 more
doaj   +1 more source

A data enlargement strategy for fault classification through a convolutional auto-encoder

MATEC Web of Conferences, 2019
The amount of data is of crucial to the accuracy of fault classification through machine learning techniques. In wind energy harvest industry, due to the shortage of faulty data obtained in real practice, together with ever changing operational ...
Hao Cui, Kesheng Wang, Yu Li, Binyuan Yang, Qiang miao   +4 more
doaj   +1 more source

Fault Detection and Diagnosis using Principal Component Analysis of Vibration Data from a Reciprocating Compressor [PDF]

, 2012
This paper investigates the use of time domain vibration features for detection and diagnosis of different faults from a multi stage reciprocating compressor.
Gu, Fengshou, Ball, Andrew, Ahmed, M.
core  

Induction motor bearing fault classification using deep neural network with particle swarm optimization‐extreme gradient boosting

IET Electric Power Applications
Intelligent motor fault diagnosis in industrial applications requires identifying key characteristics to differentiate various fault types effectively.
Chun‐Yao Lee, Edu Daryl C. Maceren
doaj   +1 more source

Remote online machine condition monitoring using advanced internet, wireless and mobile communication technologies [PDF]

, 2011
A conceptual model with wireless and mobile techniques is developed in this thesis for remote real-time condition monitoring, which is applied for monitoring, diagnosing, and controlling the working conditions of machines.
Peng, W
core  

Fault Classification for Cooling System of Hydraulic Machinery Using AI. [PDF]

Sensors (Basel), 2023
Khan HA, Bhatti U, Kamal K, Alkahtani M, Abidi MH, Mathavan S.   +5 more
europepmc   +1 more source

Dynamic Feature Extraction-Based Quadratic Discriminant Analysis for Industrial Process Fault Classification and Diagnosis. [PDF]

Entropy (Basel), 2023
Li H, Jia M, Mao Z.
europepmc   +1 more source