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Prognostics and Health Management of the Robotic Servo-Motor under Variable Operating Conditions

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/bf02715492openalex-snapshot
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Investigating the impact of data normalization on classification performance
inferredcites →https://doi.org/10.1016/j.ifacol.2018.09.380openalex-snapshot
Fault detection and classification using artificial neural networks
inferredcites →https://doi.org/10.1016/j.measurement.2019.02.080openalex-snapshot
NOSCNN: A robust method for fault diagnosis of RV reducer
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inferredcites →https://doi.org/10.1016/j.patcog.2019.02.023openalex-snapshot
The impact of class imbalance in classification performance metrics based on the binary confusion matrix
inferredcites →https://doi.org/10.1016/j.ress.2020.106936openalex-snapshot
Time-variant reliability analysis for industrial robot RV reducer under multiple failure modes using Kriging model
inferredcites →https://doi.org/10.1016/j.ress.2022.108357openalex-snapshot
An adaptive remaining useful life prediction approach for single battery with unlabeled small sample data and parameter uncertainty
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A variational local weighted deep sub-domain adaptation network for remaining useful life prediction facing cross-domain condition
inferredcites →https://doi.org/10.1016/j.tifs.2017.12.006openalex-snapshot
Use of principal component analysis (PCA) and hierarchical cluster analysis (HCA) for multivariate association between bioactive compounds and functional properties in foods: A critical perspective
inferredcites →https://doi.org/10.1016/j.ymssp.2018.08.010openalex-snapshot
A positive energy residual (PER) based planetary gear fault detection method under variable speed conditions
inferredcites →https://doi.org/10.1016/s0731-7085(99)00272-1openalex-snapshot
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inferredcites →https://doi.org/10.1038/nbt0308-303openalex-snapshot
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inferredcites →https://doi.org/10.1088/1757-899x/452/4/042148openalex-snapshot
Failure Analysis of a Flexspline of Harmonic Gear Drive in STC Industrial Robot: Microstructure and Stress Distribution
inferredcites →https://doi.org/10.1093/jcde/qwac015openalex-snapshot
Mechanical fault detection based on machine learning for robotic RV reducer using electrical current signature analysis: a data-driven approach
inferredcites →https://doi.org/10.1093/jcde/qwac091openalex-snapshot
Prognostic health management of the robotic strain wave gear reducer based on variable speed of operation: a data-driven via deep learning approach
inferredcites →https://doi.org/10.1109/access.2020.2985617openalex-snapshot
Deep Convolutional and LSTM Recurrent Neural Networks for Rolling Bearing Fault Diagnosis Under Strong Noises and Variable Loads
inferredcites →https://doi.org/10.1109/ddcls.2019.8908848openalex-snapshot
Health Monitoring of Strain Wave Gear on Industrial Robots
inferredcites →https://doi.org/10.1109/icadte.2013.6524743openalex-snapshot
SVM kernel functions for classification
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Improving Speed Independent Performance of Fault Diagnosis Systems through Feature Mapping and Normalization
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Multi-robot system task allocation mechanism for smart factory
inferredcites →https://doi.org/10.1109/mic.2012.6273357openalex-snapshot
A method for feature selection based on the correlation analysis
inferredcites →https://doi.org/10.1109/tie.2006.885131openalex-snapshot
Online Diagnosis of Induction Motors Using MCSA
inferredcites →https://doi.org/10.1109/tmech.2022.3202642openalex-snapshot
Remaining Useful Life Prediction of Lithium-Ion Battery With Adaptive Noise Estimation and Capacity Regeneration Detection
inferredcites →https://doi.org/10.1145/958432.958479openalex-snapshot
Real time facial expression recognition in video using support vector machines
inferredcites →https://doi.org/10.22055/jacm.2014.10547openalex-snapshot
Bearing Fault Detection Based on Maximum Likelihood Estimation and Optimized ANN Using the Bees Algorithm
inferredcites →https://doi.org/10.3182/20080706-5-kr-1001.01225openalex-snapshot
Fault Diagnosis of AC Servo Motor with Current Signals Based on Wavelet Decomposition and Template Matching Methods
inferredcites →https://doi.org/10.33564/ijeast.2020.v04i12.054openalex-snapshot
ACTIVATION FUNCTIONS IN NEURAL NETWORKS
inferredcites →https://doi.org/10.36001/ijphm.2016.v7i3.2410openalex-snapshot
Advancing Measurement Science to Assess Monitoring, Diagnostics, and Prognostics for Manufacturing Robotics
inferredcites →https://doi.org/10.36001/phme.2014.v2i1.1462openalex-snapshot
An approach for feature extraction and selection from non-trending data for machinery prognosis

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4814227openalex-extracted
Deep Learning-Based Fault Diagnosis of Servo Motor Bearing Using Attention-Guided Feature Aggregation Network
inferred← citeshttps://doi.org/10.2139/ssrn.4827147openalex-extracted
Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in Ai, Machine Learning, and Digital Twin
inferred← citeshttps://doi.org/10.2139/ssrn.4858660openalex-extracted
Artificial Intelligence Based Anomaly Detection and Trajectory Drift Adaptive Condition Monitoring for Industrial Collaborative Robots
inferred← citeshttps://doi.org/10.1007/978-3-031-49421-5_92openalex-snapshot
Multisensory Data-Based Fault Diagnosis of Induction Motors Using 1D and 2D Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1007/s11431-024-2810-2openalex-snapshot
Condition monitoring and fault diagnosis of industrial robots: A review
inferred← citeshttps://doi.org/10.1007/s40684-025-00694-4openalex-snapshot
Comprehensive Analysis of Current Developments, Challenges, and Opportunities for the Health Assessment of Smart Factory
inferred← citeshttps://doi.org/10.1016/j.actaastro.2026.02.034openalex-snapshot
Spaceborne health management standards for autonomous operations: A review and outlook
inferred← citeshttps://doi.org/10.1016/j.advengsoft.2024.103672openalex-snapshot
Transfer learning for servomotor bearing fault detection in the industrial robot
inferred← citeshttps://doi.org/10.1016/j.compstruct.2023.117792openalex-snapshot
Hybrid deep convolutional networks for the autonomous damage diagnosis of laminated composite structures
inferred← citeshttps://doi.org/10.1016/j.engappai.2023.107126openalex-snapshot
Review on prognostics and health management in smart factory: From conventional to deep learning perspectives
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.110298openalex-snapshot
Unsupervised motion-based anomaly detection with graph attention networks for industrial robots labeling
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.116367openalex-snapshot
Review on fault diagnosis and fault-tolerant control schemes for robotic manipulators: Recent advances in artificial intelligence and digital twin technologies
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125137openalex-snapshot
Deep learning-based fault diagnosis of servo motor bearing using the attention-guided feature aggregation network
inferred← citeshttps://doi.org/10.1016/j.procs.2024.01.108openalex-snapshot
A Hybrid Digital Twin Scheme for the Condition Monitoring of Industrial Collaborative Robots
inferred← citeshttps://doi.org/10.1016/j.rineng.2024.102397openalex-snapshot
A review on fault detection and diagnosis of industrial robots and multi-axis machines
inferred← citeshttps://doi.org/10.1080/09243046.2023.2215474openalex-snapshot
Intelligent structural health monitoring of composite structures using machine learning, deep learning, and transfer learning: a review
inferred← citeshttps://doi.org/10.1109/access.2024.3447573openalex-snapshot
A Review of Robotic Arm Joint Motors and Online Health Monitoring Techniques
inferred← citeshttps://doi.org/10.1109/icnlp65360.2025.11108497openalex-snapshot
Intelligent Fault Diagnosis of Bearing Based on Gramian Angular Field Image and Improved MobileViT
inferred← citeshttps://doi.org/10.1155/2024/2735335openalex-snapshot
Research on Local Fault Diagnosis of Rotary Vector Reducer Based on Motor Current Signature Analysis
inferred← citeshttps://doi.org/10.1177/14759217241289874openalex-snapshot
Performance of vibration and current signals in the fault diagnosis of induction motors using deep learning and machine learning techniques
inferred← citeshttps://doi.org/10.1186/s40648-025-00298-2openalex-snapshot
Design of industrial robot performance testing device based on ECMA servo motor and PLC control software
inferred← citeshttps://doi.org/10.3389/fmech.2025.1722114openalex-snapshot
Artificial intelligence and robotics in predictive maintenance: a comprehensive review
inferred← citeshttps://doi.org/10.3390/jsan14010016openalex-snapshot
Pathway to Smart Maintenance: Integrating Engineering and Economics Modeling
inferred← citeshttps://doi.org/10.3390/machines12090630openalex-snapshot
Artificial-Intelligence-Based Condition Monitoring of Industrial Collaborative Robots: Detecting Anomalies and Adapting to Trajectory Changes
inferred← citeshttps://doi.org/10.3390/machines13010060openalex-snapshot
Transfer Learning-Based Health Monitoring of Robotic Rotate Vector Reducer Under Variable Working Conditions
inferred← citeshttps://doi.org/10.3390/machines13121101openalex-snapshot
Hybrid One-Dimensional Convolutional Neural Network—Recurrent Neural Network Model for Reconstructing Missing Data in Structural Health Monitoring Systems
inferred← citeshttps://doi.org/10.3390/math11040945openalex-snapshot
Transfer Learning-Based Intelligent Fault Detection Approach for the Industrial Robotic System
inferred← citeshttps://doi.org/10.3390/math11133008openalex-snapshot
Prognostics and Health Management of Rotating Machinery of Industrial Robot with Deep Learning Applications—A Review
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