Unsupervised dissimilarity-based fault detection method for autonomous mobile robots
Published 2023 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Unsupervised dissimilarity-based fault detection method for autonomous mobile robots
Authors
Keywords
-
Journal
AUTONOMOUS ROBOTS
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2023-10-29
DOI
10.1007/s10514-023-10144-2
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An efficient diagnosis approach for bearing faults using sound quality metrics
- (2022) Tauheed Mian et al. APPLIED ACOUSTICS
- Vibration and infrared thermography based multiple fault diagnosis of bearing using deep learning
- (2022) Tauheed Mian et al. Nondestructive Testing and Evaluation
- A Fault Diagnosis Approach Based on 2D-Vibration Imaging for Bearing Faults
- (2022) R. K. Mishra et al. Journal of Vibration Engineering & Technologies
- An intelligent self-adaptive bearing fault diagnosis approach based on improved local mean decomposition
- (2022) Deepam Goyal et al. International Journal of Interactive Design and Manufacturing - IJIDeM
- Passive Thermography Based Bearing Fault Diagnosis Using Transfer Learning With Varying Working Conditions
- (2022) Anurag Choudhary et al. IEEE SENSORS JOURNAL
- State-of-the-Art Technologies in Fault Diagnosis of Electric Vehicles: A Component-Based Review
- (2022) Anurag Choudhary et al. IEEE Transactions on Transportation Electrification
- Data-driven early fault diagnostic methodology of permanent magnet synchronous motor
- (2021) Baoping Cai et al. EXPERT SYSTEMS WITH APPLICATIONS
- Clustering-Based Self-Imputation of Unlabeled Fault Data in a Fleet of Photovoltaic Generation Systems
- (2020) Sunme Park et al. Energies
- A general anomaly detection framework for fleet-based condition monitoring of machines
- (2020) Kilian Hendrickx et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Review on Machine Learning Algorithm Based Fault Detection in Induction Motors
- (2020) Prashant Kumar et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Fault detection and diagnostic method of diesel engine by combining rule-based algorithm and BNs/BPNNs
- (2020) Baoping Cai et al. JOURNAL OF MANUFACTURING SYSTEMS
- Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review
- (2019) Tianyang Wang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Fault Detection and Diagnosis in Multi-Robot Systems: A Survey
- (2019) Eliahu Khalastchi et al. SENSORS
- Feature learning for fault detection in high-dimensional condition monitoring signals
- (2019) Gabriel Michau et al. Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability
- On Fault Detection and Diagnosis in Robotic Systems
- (2018) Eliahu Khalastchi et al. ACM COMPUTING SURVEYS
- A framework for reconciliating data clusters from a fleet of nuclear power plants turbines for fault diagnosis
- (2018) Sameer Al-Dahidi et al. APPLIED SOFT COMPUTING
- Fault Estimation and Accommodation For Virtual Sensor Bias Fault in Image-Based Visual Servoing Using Particle Filter
- (2018) Mien Van et al. IEEE Transactions on Industrial Informatics
- Cooperative Monitoring to Diagnose Multiagent Plans
- (2018) R. Micalizio et al. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
- A survey on Deep Learning based bearing fault diagnosis
- (2018) Duy-Tang Hoang et al. NEUROCOMPUTING
- A hybrid approach for improving unsupervised fault detection for robotic systems
- (2017) Eliahu Khalastchi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Thruster fault diagnosis method based on Gaussian particle filter for autonomous underwater vehicles
- (2016) Yu-shan Sun et al. International Journal of Naval Architecture and Ocean Engineering
- Robust fault-tolerant control for uncertain robot manipulators based on adaptive quasi-continuous high-order sliding mode and neural network
- (2015) Mien Van et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
- Online data-driven anomaly detection in autonomous robots
- (2014) Eliahu Khalastchi et al. KNOWLEDGE AND INFORMATION SYSTEMS
- Experimental Test of a Two-Stage Kalman Filter for Actuator Fault Detection and Diagnosis of an Unmanned Quadrotor Helicopter
- (2012) M. Hadi Amoozgar et al. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
- Bio-inspired computing: constituents and challenges
- (2009) Rajendra Akerkar et al. International Journal of Bio-Inspired Computation
- Primary and secondary diagnosis of multi-agent plan execution
- (2008) Femke de Jonge et al. AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now