A Vibration Fault Identification Framework for Shafting Systems of Hydropower Units: Nonlinear Modeling, Signal Processing, and Holographic Identification. [PDF]
Shi Y, Zhou J, Huang J, Xu Y, Liu B.
europepmc +1 more source
Gearbox Fault Identification Model Using an Adaptive Noise Canceling Technique, Heterogeneous Feature Extraction, and Distance Ratio Principal Component Analysis. [PDF]
Nguyen CD, Kim CH, Kim JM.
europepmc +1 more source
Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings. [PDF]
Saucedo-Dorantes JJ +3 more
europepmc +1 more source
Applications of Fault Detection in Vibrating Structures [PDF]
Structural fault detection and identification remains an area of active research. Solutions to fault detection and identification may be based on subtle changes in the time series history of vibration signals originating from various sensor locations ...
Eure, Kenneth W. +5 more
core +1 more source
Fault Identification in Electric Servo Actuators of Robot Manipulators Described by Nonstationary Nonlinear Dynamic Models Using Sliding Mode Observers. [PDF]
Zuev A +3 more
europepmc +1 more source
ARGES: an Expert System for Fault Diagnosis Within Space-Based ECLS Systems [PDF]
ARGES (Atmospheric Revitalization Group Expert System) is a demonstration prototype expert system for fault management for the Solid Amine, Water Desorbed (SAWD) CO2 removal assembly, associated with the Environmental Control and Life Support (ECLS ...
Mendler, Andrew P. +2 more
core +1 more source
A transmission line fault identification method based on Deep Forest and SMOTE
Power transmission line faults exhibit multi-causal origins and imbalanced occurrence frequencies across fault types, resulting in significant class imbalance in transient waveform data.
JIANG Kaihua +6 more
doaj +1 more source
A Novel Feature Extraction and Fault Detection Technique for the Intelligent Fault Identification of Water Pump Bearings. [PDF]
Irfan M +8 more
europepmc +1 more source
Fault Identification in Mechatronic Systems
Alexey N. Zhirabok +2 more
openaire +1 more source
Intelligent Fault Identification for Rolling Bearings Fusing Average Refined Composite Multiscale Dispersion Entropy-Assisted Feature Extraction and SVM with Multi-Strategy Enhanced Swarm Optimization. [PDF]
Shi H, Fu W, Li B, Shao K, Yang D.
europepmc +1 more source

