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Machine Learning Algorithms for Classifying Component Defects for Predictive Maintenance
Kammerer, Christoph ; Küstner, Micha ; Gaust, Michael ; et al.

Industrie 4.0 Internet der Dinge Big Data
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2

Detection of selected gear tooth defects using deep neural networks.
Bojarczak, Piotr ; Osuch-Słomka, Edyta ; Stanisławek, Sebastian ; et al.
Advances in Science & Technology Research Journal; 2026, Vol. 20 Issue 2, p388-401, 14p

ARTIFICIAL neural networ... TRANSFORMER models FEATURE extraction MACHINE learning CONVOLUTIONAL neural net...
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4

A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges
Bris-Peñalver, Francisco Javier ; Verdecia-Peña, Randy ; Alonso, José I.
Sensors. February, 2026, Vol. 26 Issue 3

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5

AI-Driven Framework for Predicting Oil Pipeline Failure Causes Based on Leak Properties and Financial Impact.
Afrin, Tanzina ; Yodo, Nita ; Huang, Ying
Journal of Pipeline Systems Engineering & Practice; May2025, Vol. 16 Issue 2, p1-11, 11p

PETROLEUM pipelines EXTREME weather PIPELINE maintenance & r... PIPELINE failures ARTIFICIAL intelligence
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6

A Comprehensive Review of Machine Learning Algorithms for Fault ‎Diagnosis and Prediction in Rotating Machinery
Abdullah, ‏ ‏Afrah Thamer ; Hussein, Haneen Mohammed ; Sabeeh ‎, Raad Saad ; et al.
مجلة جامعة بابل للعلوم الهندسية; مجلد 33 عدد 4 (2025): ‏‎Journal of University of Babylon Engineering Sciences ; 110 - 127 ; Journal of University of Babylon for Engineering Sciences; Vol. 33 No. 4 (2025): ‏‎Journal of University of Babylon Engineering Sciences ; 2616-9916

التعلم الآلي تحليل الاهتزازات... الآلات الدوارة... اكتشاف الأعطال‏... Machine Learning‎ Vibration Analysis‎ …
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7

Intelligent Diagnosis of Urban Underground Drainage Network: From Detection to Evaluation.
Luo, Daming ; Du, Kanglei ; Niu, Ditao
Structural Control & Health Monitoring; 5/6/2024, Vol. 2024, p1-22, 22p

DRAINAGE pipes INFORMATION technology DRAINAGE UNDERGROUND pipelines DEEP learning URBAN growth
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8

AI‐Enabled Predictive Analytics for Wind Turbine Health and Solar Farm Performance Using Distributed Sensor Networks
Muhamad, Nasir ; Li, Xisheng ; Imtiaz, Saqif ; et al.
IET Renewable Power Generation. February 5, 2026, Vol. 20 Issue 1

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9

Predictive maintenance management of gear systems in the era of computer vision
International Journal of Quality & Reliability Management, 2025, Vol. 42, Issue 7, pp. 1885-1904.

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10

An investigation of machine learning strategies for electric motor anomaly detection using vibration and audio signals
Folz, Klaus Jürgen ; Gomes, Herbert Martins
Engineering Computations, 2024, Vol. 42, Issue 2, pp. 465-487.

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11

An implementation of YOLO-family algorithms in classifying the product quality for the acrylonitrile butadiene styrene metallization.
Chen, Yuh Wen ; Shiu, Jing Mau
International Journal of Advanced Manufacturing Technology; Apr2022, Vol. 119 Issue 11/12, p8257-8269, 13p

DEEP learning AUTOMATIC optical inspec... ACRYLONITRILE ARTIFICIAL neural networ... PRODUCT quality BUTADIENE …
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12

Predictive Maintenance of Metro Rail Station Facilities Using Tree-Based Machine-Learning Algorithms.
Alothman, Ahmad ; Malraj, Manvitha ; Vilventhan, Aneetha
Journal of Performance of Constructed Facilities; Feb2026, Vol. 40 Issue 1, p1-15, 15p

MACHINE learning RANDOM forest algorithms SUBWAYS FACILITY management TRANSPORTATION safety me... ORGANIZATIONAL effective... …
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13

Machine Learning-Based Predictive Maintenance for Car Air Filters.
Johari, Lalit ; Tenali, Sri Harsha Chakravarthy ; Kumar, K. R. Senthil ; et al.
EPJ Web of Conferences; 3/2/2026, Vol. 354, p1-12, 12p

MACHINE learning AIR filters SUPPORT vector machines RANDOM forest algorithms K-nearest neighbor class... AUTOMOBILE repair …
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14

Quantitative assessment of pipeline defects utilizing a dual-stage deep learning framework: Integration of pretrained YOLO network and multi-input parallel convolution architectures on magnetic flux leakage data.
Xie, Jialiang ; Yang, Jie ; Fu, Kuan ; et al.
Journal of Pipeline Science & Engineering; Jan2026, Vol. 6 Issue 1, p1-12, 12p

DEEP learning MAGNETIC flux leakage CONVOLUTIONAL neural net... CONDITION-based maintena... NONDESTRUCTIVE testing DETECTION algorithms …
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15

Review on Sound-Based Industrial Predictive Maintenance: From Feature Engineering to Deep Learning
Ye, Tongzhou ; Peng, Tianhao ; Yang, Lidong
Mathematics. June, 2025, Vol. 13 Issue 11

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16

Development of an Automated Morphometric Approach to Assess Vascular Outcomes following Exposure to Environmental Chemicals in Zebrafish.
Xiali Zhong ; Junzhou Chen ; Zhuyi Zhang ; et al.
Environmental Health Perspectives. May2024, Vol. 132 Issue 5, p057001-1-057001-19. 19p.

Fishes Pesticides RNA Environmental exposure Pollutants Animal experimentation …
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17

From Point Clouds to Predictive Maintenance: A Review of Intelligent Railway Infrastructure Monitoring.
Zhang, Yalin ; Dai, Peng ; Sysyn, Mykola ; et al.
Sensors (14248220); Feb2026, Vol. 26 Issue 4, p1131, 31p

POINT cloud DIGITAL twin STRUCTURAL health monito... DEEP learning CONDITION-based maintena... INFRASTRUCTURE (Economic... …
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18

Analysis of the State and Fault Detection of a Plastic Injection Machine—A Machine Learning-Based Approach.
Costa, João ; Silva, Rui ; Martins, Gonçalo ; et al.
Algorithms; Aug2025, Vol. 18 Issue 8, p521, 21p

INJECTION molding of pla... MACHINE learning OUTLIER detection CONDITION-based maintena... BOOSTING algorithms DIMENSIONAL reduction al... …
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19

Vehicle Maintenance Demand Prediction: A Survey.
Chen, Fanghua ; Jia, Hong ; Zhou, Wei
Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 20, p11095, 30p

MACHINE learning SYSTEM integration AUTOMOBILE repair MATHEMATICAL optimizatio... FORECASTING methodology DEEP learning …
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20

Artificial intelligence and robotics in predictive maintenance: a comprehensive review.
Azeta, Joseph ; Omeche, Theodore Tochukwu ; Daniyan, Ilesanmi ; et al.
Frontiers in Mechanical Engineering; 2026, p1-36, 36p

ARTIFICIAL intelligence ROBOTICS CONDITION-based maintena... FAULT diagnosis INTERNET of things DEEP learning …
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