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Conference Open access Aug 2026

A Comprehensive Review on Real-Time Performance Assessment & Operational Fault Monitoring in Hydromachinery

Hydromachinery is vital for clean and sustainable power generation, where reliable and efficient operation directly supports the stability of hydropower plants. To achieve this, real-time performance tracking and fault monitoring are becoming increasingly important. This review summarizes recent techniques and technolo...

Juhi Padma, Hemant J. Sagar · 0 citations
Open access Jul 2026

A Smart Predictive Maintenance Architecture for Industrial Equipment Monitoring Using IIoT, Machine Learning, and Digital Twin Models

An Industrial Internet of Things (IIoT)-based Predictive Maintenance System that integrates smart sensors, edge computing, cloud analytics, artificial intelligence, and digital twin technology is proposed that contributes to the development of intelligent and self-optimizing industrial environments aligned with Industr...

Gajula Prasad Gajula Prasad, Bolloju Divya Sri Bolloju Divya Sri, Dr B Ramprasad Dr B Ramprasad · 0 citations
Aug 2026

An IoT-based System for Early Fault Detection and Predictive Maintenance in Induction Motors with Interpretable Generalized Additive Neural Networks

The proposed IoT-MDS-EDFIM-IGANN framework is efficient, accurate, and cost-effective solution for induction motor fault diagnosis and combines advanced preprocessing, class balancing, feature extraction, and optimization to achieve reliable predictive maintenance and promote operational reliability of industrial induc...

G. Rayappan, V. Duraisamy, D. Somasundareswari · 0 citations
Open access Jul 2026

Machine Learning-Based Predictive Maintenance of a Wire Drawing Machine Using Vibration and Motor Current Signals

A Composite Health Index (CHI) is developed to transform multi-motor sensor data into an interpretable machine-level degradation indicator and is used to train ensemble machine learning models including Random Forest, Extra Trees, and XGBoost.

Ahmet Pişmişoğlu, Erkan Caner Ozkat, M. Konar · 0 citations
Open access Jul 2026

AN INTELLIGENT PREDICTIVE MAINTENANCE SYSTEM FOR INDUSTRIAL IOT APPLICATIONS

Experimental results demonstrate that the proposed framework achieves high fault prediction accuracy, enhances system reliability, reduces maintenance costs, and supports data-driven decision-making in industrial environments.

Govind D. More, Shreyas Hon, Piyush Kotkar et al. · 0 citations
Open access Aug 2026

AI-DRIVEN PREDICTIVE MAINTENANCE AND INTELLIGENT MONITORING OF MECHANICAL SYSTEMS USING MACHINE LEARNING AND IOT

An end-to-end predictive maintenance system is proposed for high stress mechanical drivetrain and rotating machinery and the architecture proposed combines an industrial Internet of Things edge sensory network and hybrid machine learning and deep learning pipelines.

Ashish Kumar, Md Mohtab Alam, N. Priya et al. · 0 citations

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