Review on model-based methods for on-board condition monitoring in railway vehicle dynamics by Salvatore Strano, Mario Terzo

“…This article performs an extensive review on condition monitoring techniques for rail vehicle dynamics. …”
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Machine Learning Approaches for Road Condition Monitoring Using Synthetic Aperture Radar by Lucas Germano Rischioni, Arun Babu, Stefan V. Baumgartner, Gerhard Krieger

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Real-Time Condition Monitoring System for Electrode Alignment in Resistance Welding Electrodes by Daniel Ibáñez, Eduardo García, Jesús Soret, Julio Martos

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Condition Monitoring of Wind Turbine Based on Copula Function and Autoregressive Neural Network by Huang Zhongshan, Tian Ling, Xiang Dong, Liu Sichao, Wei Yaozhong

“…The traditional wind turbine fault monitoring is often based on a single monitoring signal without considering the overall correlation between signals. A global condition monitoring method based on Copula function and autoregressive neural network is proposed for this problem. …”
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Edge-to-Cloud IIoT for Condition Monitoring in Manufacturing Systems with Ubiquitous Smart Sensors by Zhi Li, Fei Fei, Guanglie Zhang

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Implementation of a Condition Monitoring Strategy for the Monastery of Salzedas, Portugal: Challenges and Optimisation by Eduarda Vila-Chã, Alberto Barontini, Paulo B. Lourenço

“…The implementation of condition monitoring for damage identification and the generation of a reliable digital twin are essential elements of preventive conservation. …”
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A CUSUM-Based Approach for Condition Monitoring and Fault Diagnosis of Wind Turbines by Phong B. Dao

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Condition Monitoring of Rolling Bearing Based on Multi-Order FRFT and SSA-DBN by Jie Ma, Shule Li, Xinyu Wang

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Application of Machine Learning Algorithms for Tool Condition Monitoring in Milling Chipboard Process by Agata Przybyś-Małaczek, Izabella Antoniuk, Karol Szymanowski, Michał Kruk, Jarosław Kurek

“…In this article, we present a novel approach to tool condition monitoring in the chipboard milling process using machine learning algorithms. …”
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Transfer of Process References between Machine Tools for Online Tool Condition Monitoring by Berend Denkena, Benjamin Bergmann, Tobias H. Stiehl

“…Process and tool condition monitoring systems are a prerequisite for autonomous production. …”
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Tool Wear Condition Monitoring by Combining Variational Mode Decomposition and Ensemble Learning by Jun Yuan, Libing Liu, Zeqing Yang, Yanrui Zhang

Subjects: “…tool wear condition monitoring…”
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Inspection of artificially built mechanical failures through innovative condition monitoring techniques by EROL S.Seçkin, MERAN Cemal

“…During the tests, data are collected simultaneously in vibration by four-channel Data Acquisition Card (DAC) and electrical consumption by Motor Condition Monitoring (MCM) system which are integrated with an computer system. …”
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Semi-Supervised Machine Condition Monitoring by Learning Deep Discriminative Audio Features by Iordanis Thoidis, Marios Giouvanakis, George Papanikolaou

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An Integrated Condition Monitoring Method for Rotating Machinery Based on Optimum Healthy State by Shiwei Yan, Haining Liu, Fajia Li, Fuhang Huang, Huanyong Cui

“…The degradation of a machine is nonlinear, which brings challenges to its performance assessment during condition monitoring, especially when there is a run-in period. …”
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Road Condition Monitoring Using Smart Sensing and Artificial Intelligence: A Review by Eshta Ranyal, Ayan Sadhu, Kamal Jain

Subjects: “…road condition monitoring…”
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Lubrication Oil Condition Monitoring and Remaining Useful Life Prediction With Particle Filtering by Yongzhi Qu, David He, Jae M. Yoon, Junda Zhu, Eric Bechhoefer

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Power-Based Non-Intrusive Condition Monitoring for Terminal Device in Smart Grid by Guoming Zhang, Xiaoyu Ji, Yanjie Li, Wenyuan Xu

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Condition Monitoring of Wind Turbine Gearbox Bearing Based on Deep Learning Model by Jian Fu, Jingchun Chu, Peng Guo, Zhenyu Chen

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An approach to robust condition monitoring in industrial processes using pythagorean membership grades by ADRIÁN RODRÍGUEZ RAMOS, JOSÉ M. BERNAL DE LÁZARO, CARLOS CRUZ CORONA, ANTÔNIO J. DA SILVA NETO, ORESTES LLANES-SANTIAGO

“…Abstract In this paper, a robust approach to improve the performance of a condition monitoring process in industrial plants by using Pythagorean membership grades is presented. …”
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Tool Condition Monitoring with Convolutional Neural Network for Milling Tools and Turning Inserts by Achmad Pratama Rifai, Silvyaniza Briliananda, Hideki Aoyama

Subjects: “…Tool condition monitoring…”
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