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Artificial Intelligence Based Anomaly Detection and Trajectory Drift Adaptive Condition Monitoring for Industrial Collaborative Robots

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

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Harmonic reducer in-situ fault diagnosis for industrial robots based on deep learning

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Expert enhanced dynamic time warping based anomaly detection

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Detecting multivariate outliers: Use a robust variant of the Mahalanobis distance

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Conceptual Understanding of Convolutional Neural Network- A Deep Learning Approach

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A Hybrid Digital Twin Scheme for the Condition Monitoring of Industrial Collaborative Robots

inferredcites →https://doi.org/10.1016/j.trpro.2021.07.113openalex-extracted

Anomaly detection using Autoencoders and Deep Convolution Generative Adversarial Networks

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Mechanical fault detection based on machine learning for robotic RV reducer using electrical current signature analysis: a data-driven approach

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An Experimental Comparison of Anomaly Detection Methods for Collaborative Robot Manipulators

inferredcites →https://doi.org/10.1109/wts.2018.8363930openalex-extracted

Autoencoder-based network anomaly detection

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Intelligent Maintenance Systems and Predictive Manufacturing

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The Gap between Theory and Practice in Function Approximation with Deep Neural Networks

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A Comparison of Optimization Algorithms for Deep Learning

inferredcites →https://doi.org/10.33564/ijeast.2020.v04i12.054openalex-extracted

ACTIVATION FUNCTIONS IN NEURAL NETWORKS

inferredcites →https://doi.org/10.3389/frai.2020.578613openalex-extracted

Prognostics and Health Management of Industrial Assets: Current Progress and Road Ahead

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Proposal of a Monitoring System for Collaborative Robots to Predict Outages and to Assess Reliability Factors Exploiting Machine Learning

inferredcites →https://doi.org/10.3390/electronics12173669openalex-extracted

Time-Series Machine Learning Techniques for Modeling and Identification of Mechatronic Systems with Friction: A Review and Real Application

inferredcites →https://doi.org/10.3390/engproc2022018023openalex-extracted

Autoencoders for Anomaly Detection in an Industrial Multivariate Time Series Dataset

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

inferredcites →https://doi.org/10.3390/robotics12030071openalex-extracted

A Comprehensive Multibody Model of a Collaborative Robot to Support Model-Based Health Management

inferredcites →https://doi.org/10.3390/s20236845openalex-extracted

Rotate Vector (RV) Reducer Fault Detection and Diagnosis System: Towards Component Level Prognostics and Health Management (PHM)

inferredcites →https://doi.org/10.3390/s23031305openalex-extracted

Deep Learning Techniques in Intelligent Fault Diagnosis and Prognosis for Industrial Systems: A Review

inferredcites →https://doi.org/10.3390/s23063260openalex-extracted

Anomaly Detection and Concept Drift Adaptation for Dynamic Systems: A General Method with Practical Implementation Using an Industrial Collaborative Robot

inferredcites →https://doi.org/10.38016/jista.682479openalex-extracted

Collaborative Robots: Frontiers of Current Literature

inferredcites →https://doi.org/10.5555/1639537.1639542openalex-extracted

Multilayer perceptron and neural networks

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