RADIS: A real-time anomaly detection intelligent system for fault diagnosis of marine machinery

Author:

Velasco-Gallego Christian,Lazakis Iraklis

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference51 articles.

1. Unsupervised Anomaly Detection Using Optimal Transport for Predictive Maintenance. Artificial Neural Networks and Machine Learning - ICANN 2019: Text and Time Series. ICANN 2019;Alaoui-Belghiti;Lecture Notes in Computer Science,2019

2. A research study on unsupervised machine learning algorithms for early fault detection in predictive maintenance;Amruthnath,2018

3. An efficient multilevel color image thresholding based on modified whale optimization algorithm;Anitha;Expert Systems with Applications,2021

4. Internet of Ships: A Survey on Architectures, Emerging Applications, and Challenges;Aslam;IEEE Internet of Things Journal,2020

5. Cluster Based Anomaly Detection with Applications in the Maritime Industry;Brandsæter,2017

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