On the public citation graph
Prognostics and Health Management of Rotating Machinery of Industrial Robot with Deep Learning Applications—A Review
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1 of the 200 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-04): 10.1007/s00500-021-05572-0 (notice 2024-10-28).
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/we.1585openalex-snapshotA comparative study on vibration‐based condition monitoring algorithms for wind turbine drive trains
inferredcites →https://doi.org/10.1007/s12555-021-0267-xopenalex-snapshotOptimal Zonotopic Kalman Filter-based State Estimation and Fault-diagnosis Algorithm for Linear Discrete-time System with Time Delay
inferredcites →https://doi.org/10.1016/j.neucom.2017.10.063openalex-snapshotA novel adaptive fault detection methodology for complex system using deep belief networks and multiple models: A case study on cryogenic propellant loading system
inferredcites →https://doi.org/10.1016/j.rcim.2021.102228openalex-snapshotApplication of Generalized Frequency Response Functions and Improved Convolutional Neural Network to Fault Diagnosis of Heavy-duty Industrial Robot
inferredcites →https://doi.org/10.1093/jcde/qwac015openalex-snapshotMechanical fault detection based on machine learning for robotic RV reducer using electrical current signature analysis: a data-driven approach
inferredcites →https://doi.org/10.1109/tie.2015.2509913openalex-snapshotMotor Bearing Fault Detection Using Spectral Kurtosis-Based Feature Extraction Coupled With K -Nearest Neighbor Distance Analysis
inferredcites →https://doi.org/10.1155/2018/2919637openalex-snapshotReliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder‐Based Deep Neural Network
inferredcites →https://doi.org/10.2196/11966openalex-snapshotDeep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations
inferredcites →https://doi.org/10.3390/app11083380openalex-snapshotPredictive Maintenance: A Novel Framework for a Data-Driven, Semi-Supervised, and Partially Online Prognostic Health Management Application in Industries
inferredcites →https://doi.org/10.3390/app11093963openalex-snapshotMulti-Scale Convolutional Recurrent Neural Network for Bearing Fault Detection in Noisy Manufacturing Environments
inferredcites →https://doi.org/10.3390/math10183233openalex-snapshotSensor-Based Prognostic Health Management of Advanced Driver Assistance System for Autonomous Vehicles: A Recent Survey
inferredcites →https://doi.org/10.3390/math9212814openalex-snapshotReal-World Data-Driven Machine-Learning-Based Optimal Sensor Selection Approach for Equipment Fault Detection in a Thermal Power Plant
inferredcites →https://doi.org/10.3390/s20236845openalex-snapshotRotate Vector (RV) Reducer Fault Detection and Diagnosis System: Towards Component Level Prognostics and Health Management (PHM)
inferredcites →https://doi.org/10.3390/s22187070openalex-snapshotA Systematic Literature Review of Predictive Maintenance for Defence Fixed-Wing Aircraft Sustainment and Operations
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.4827147openalex-extractedReview on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in Ai, Machine Learning, and Digital Twin
inferred← citeshttps://doi.org/10.1007/s00202-024-02312-zopenalex-snapshotNon-invasive vibration analysis with RDWT, UWB radar, and software PLL for open-phase and multiple bearing faults diagnosis in BLDC motor
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.116367openalex-snapshotReview on fault diagnosis and fault-tolerant control schemes for robotic manipulators: Recent advances in artificial intelligence and digital twin technologies
inferred← citeshttps://doi.org/10.1088/1361-6501/ae72b3openalex-snapshotA comprehensive review of fault diagnosis methods for ship rolling bearings under the AI revolution: challenges and opportunities
inferred← citeshttps://doi.org/10.1109/access.2026.3722422openalex-snapshotDevelopment and Modeling of Ensemble Machine Learning Algorithms in Colored Petri Nets for Execution Failure Diagnosis in Robotic Manipulators
inferred← citeshttps://doi.org/10.1109/jiot.2026.3696233openalex-snapshotLDEMF: A Lightweight Diffusion-Enhanced Multidomain Fusion Framework for Edge-Side Fault Diagnosis Within Distributed Device Clusters
inferred← citeshttps://doi.org/10.3390/act13120514openalex-snapshotArtificial Intelligence-Driven Prognostics and Health Management for Centrifugal Pumps: A Comprehensive Review
inferred← citeshttps://doi.org/10.3390/app15020854openalex-snapshotProposal for a Sustainable Model for Integrating Robotic Process Automation and Machine Learning in Failure Prediction and Operational Efficiency in Predictive Maintenance
inferred← citeshttps://doi.org/10.3390/asec2023-15330openalex-snapshotRobust Control Approaches and Trajectory Planning Strategies for Industrial Robotic Manipulators in the Era of Industry 4.0: A Comprehensive Review
inferred← citeshttps://doi.org/10.3390/machines12090630openalex-snapshotArtificial-Intelligence-Based Condition Monitoring of Industrial Collaborative Robots: Detecting Anomalies and Adapting to Trajectory Changes
inferred← citeshttps://doi.org/10.3390/math12233750openalex-snapshotAnomaly Detection Based on Graph Convolutional Network–Variational Autoencoder Model Using Time-Series Vibration and Current Data
inferred← citeshttps://doi.org/10.3390/s26144606openalex-snapshotSensor-Based Air-Gap Monitoring of Elevator Brakes via RMS-Envelope-Guided Transient Impact Extraction and RBF-SVM
inferred← citeshttps://doi.org/10.4314/njt.v45i1.9openalex-snapshotTRANSFORMING PREDICTIVE MAINTENANCE WITH MACHINE LEARNING: A COMPREHENSIVE REVIEW OF INNOVATIONS AND APPLICATIONS IN CENTRIFUGAL PUMPS
inferred← citeshttps://doi.org/10.7717/peerj-cs.3037openalex-snapshotAttention-based BiLSTM-XGBoost model for reliability assessment and lifetime prediction of digital microfluidic systems
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