The Hybrid KICA-GDA-LSSVM Method Research on Rolling Bearing Fault Feature Extraction and Classification by Jiyong Li, Shunming Li, Xiaohong Chen, Lili Wang

“…As feature extraction and classification based on vibration signals are important in condition monitoring technique, and superfluous features may degrade the classification performance, it is needed to extract independent features, so LSSVM (least square support vector machine) based on hybrid KICA-GDA (kernel independent component analysis-generalized discriminate analysis) is presented in this study. …”
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Detection and Quantization of Bearing Fault in Direct Drive Wind Turbine via Comparative Analysis by Wei Teng, Rui Jiang, Xian Ding, Yibing Liu, Zhiyong Ma

“…Through comparing a faulty DDWT with a normal one, the bearing fault feature is evidenced and the quantization index is calculated, which show a good application prospect for condition monitoring and fault diagnosis in real DDWT.…”
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Review of Condition Rating and Deterioration Modeling Approaches for Concrete Bridges by Nour Faris, Tarek Zayed, Ali Fares

“…These bridges are subjected to continuous deterioration due to environmental exposure and operational stresses, necessitating ongoing condition monitoring. Despite extensive research on condition rating and deterioration modeling of concrete bridges, a comprehensive and comparative understanding of these processes remains underexplored. …”
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Comparison of Two Classifiers; K-Nearest Neighbor and Artificial Neural Network, for Fault Diagnosis on a Main Engine Journal-Bearing by A. Moosavian, H. Ahmadi, A. Tabatabaeefar, M. Khazaee

“…Vibration analysis is an accepted method in condition monitoring of machines, since it can provide useful and reliable information about machine working condition. …”
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An Overview of Pavement Degradation Prediction Models by Amir Shtayat, Sara Moridpour, Berthold Best, Shahriar Rumi

“…Pavement management systems (PMSs) have a primary role in determining pavement condition monitoring and maintenance strategies. Moreover, many researchers have focused on pavement condition evaluation tools, starting with data collection, followed by processing, analyzing, and ultimately reaching practical conclusions regarding pavement condition. …”
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FMCW-based contactless heart rate monitoring by Zhanjun Hao, Yifei Gao, Yangyang Tang, Yue Wang, Kai Fan, Fenfang Li

“…The technology’s penetration and privacy offer a potential solution for heart condition monitoring. Therefore, this study utilized frequency-modulated continuous wave (FMCW) radar for heart rate monitoring. …”
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Temperature Characteristics of Axle-Box Bearings Under Wheel Flat Excitation by Yaping Luo, Fan Zhang, Zhiwei Wang, Chen Yang, Weihua Zhang, Fengshou Gu

“…The findings of this study can provide engineering guidelines for the condition monitoring of ABBs.…”
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Innovative Driver Monitoring Systems and On-Board-Vehicle Devices in a Smart-Road Scenario Based on the Internet of Vehicle Paradigm: A Literature and Commercial Solutions Overview by Paolo Visconti, Giuseppe Rausa, Carolina Del-Valle-Soto, Ramiro Velázquez, Donato Cafagna, Roberto De Fazio

“…The paper describes vehicle condition monitoring architectures, including diagnostic solutions for identifying anomalies, malfunctions, and instability while driving on slippery or wet roads. …”
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Application of Artificial Intelligence Techniques on Computational Electromagnetics for Power System Apparatus: An Overview by Dinusha Maramba Gamage, Madhawa Ranasinghe, Venkata Dinavahi

“…Case studies and examples illustrate the successful application of AI-based CEM in solving practical challenges in electrical machine modeling, condition monitoring, and design optimizations in power systems. …”
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Bearing Fault Classification Based on Conditional Random Field by Guofeng Wang, Xiaoliang Feng, Chang Liu

“…Condition monitoring of rolling element bearing is paramount for predicting the lifetime and performing effective maintenance of the mechanical equipment. …”
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Performance Evaluation of Deep Learning Image Classification Modules in the MUN-ABSAI Ice Risk Management Architecture by Ravindu G. Thalagala, Oscar De Silva, Dan Oldford, David Molyneux

“…Inference times were found to be less than 1 s in Colab and under 3 s on a stand-alone system, confirming the architecture’s efficiency in real-time ice condition monitoring.…”
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Vehicle maneuver recognition and correction algorithm for road quality measurement system optimization by Roland Nagy, István Szalai

“…To mitigate these effects and support timely pavement repairs, continuous road condition monitoring is essential. Vibration-based measurement systems have gained prominence in recent years, but their accuracy can be significantly compromised by vehicle maneuvers, particularly on urban or curvy roads. …”
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Study of GaN Hall Effect Magnetic Sensors by Vlad Marsic, Soroush Faramehr, Isha Maini, David A. J. Moran, Petar Igic

“…The GaN Hall sensors are the latest advancements in non-intrusive active monitoring, designed to be integrated on GaN power transistors to enable in-situ condition monitoring, hence boosting device reliability and life. …”
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Performance of Multilayered Nanocoated Cutting Tools in High-Speed Machining: A Review by S. Ganeshkumar, S. Venkatesh, P. Paranthaman, R. Arulmurugan, J. Arunprakash, M. Manickam, S. Venkatesh, G. Rajendiran

“…Several types of research have been carried out in cutting tool condition monitoring. On the other hand, the manufacturing industries should be aware of the cutting tool selection, operating conditions, and performance of cutting tools. …”
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Full-scale wind turbine performance assessment: a customised, sensor-augmented aeroelastic modelling approach by T. H. Malik, C. Bak

“…This research provides an approach for bridging simulation insights with operational data for turbine-specific performance assessment, contributing to the development of condition monitoring systems (CMSs), resilient turbine designs, and maintenance strategies tailored to specific operating conditions.…”
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Stator Vibration Characteristic Identification of Turbogenerator among Single and Composite Faults Composed of Static Air-Gap Eccentricity and Rotor Interturn Short Circuit by Yu-Ling He, Wei-Qi Deng, Bo Peng, Meng-Qiang Ke, Gui-Ji Tang, Shu-Ting Wan, Xiang-Yu Liu

“…The achievements of this paper are beneficial for fault identification and condition monitoring of the turbogenerator.…”
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Detection of Partial Discharge in Liquid via Interferometry by Liang Xue, Hao Zhou, Wenjing Wang, Junjie Chen, Lunming Qin, Chao Jiang, Haoyang Cui

“…This study verifies the feasibility and effectiveness of PD detection in liquid based on Michelson interferometry, and provides a new idea for condition monitoring and fault diagnosis of liquid insulation system.…”
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Mobile robot navigation path algorithm in 3d industrial internet of thing (iot) environment based on 5g mobile communication by Pei Ping, Yu. N. Petrenko

“…One of the most important components of industrial IoT is the wireless sensor network (WSN), which are easy to deploy and use in indoor industrial environments for a IoT of tasks, such as irrigation, machine condition monitoring, and environment monitoring. There are a IoT of works focusing on the WSN in industrial IoT. …”
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Rough Set Neural Network Feature Extraction and Pattern Recognition of Shaft Orbits Based on the Zernike Moment by Xinfeng Ge, Jing Zhang, Ye Zhou, Jianguo Cai, Hui Zhang, Hongchang Hua, Dong Chen, Ming Zhao, Jinqi Du, Yuan Zheng

“…In the shaft axis monitoring of hydrogenerating unit condition monitoring and fault diagnosis, the shaft orbit is intuitive and comprehensively reflects the unit operation state, and different shaft orbits correspond to different fault types, which can accurately indicate a system vibration fault. …”
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Fiber-Optic Distributed Acoustic Sensing for Smart Grid Application by Xiaofeng Zhang, Jun Qi, Xiao Liang, Zhen Guan, Zeguang Liu, Chang Zhang, Dabin Chen, Weifeng Deng, Changzhi Xu, Xinwei Wang, Huanhuan Liu

“…In this paper, we review the research progress and application status of DAS technology in power systems, focusing on its applications in areas such as the wind-induced vibration detection of transmission lines, partial discharge monitoring, transformer condition monitoring, and underwater cable and renewable energy transmission monitoring, as well as in the safety and protection of surrounding power facilities. …”
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