Cited by Deep Learning Approaches for Real-Time IoT Data Processing and Analysis

Enhancing Industrial Equipment Reliability Through an Optimized ANN-Powered Predictive Maintenance System DOI

Hiren Mewada, Nirav Bhatt, Nikita Bhatt

et al.

Advances in chemical and materials engineering book series, Journal Year: 2025, Volume and Issue: unknown, P. 383 - 404

Published: Feb. 5, 2025

Maintaining industrial equipment ensures efficiency, reduces downtime, and prevents costly failures. Routine inspections or equipment's reactive response breakdowns may not be efficient it can cause unexpected This chapter presents an automated framework for predictive maintenance using ANN. The independent parameters including air temperature, torque, rotational speed tool wear are used to estimate the failure of equipment. proposed ANN network is initially optimized by tuning its hyperparameters i.e. hidden layers, learning rate regularization parameter. Later validated quantitative accuracy, precision, recall F1-score. succeeded with 98% accuracy in prediction. real-time improve reliability reduction cost boost efficiency. customized integrated a management system further meet demand various prevent shutdown machinery.

Language: Английский

Citations

Advanced Applications of Artificial Neural Networks in Scientific Research DOI

Dankan Gowda,

Anjali Sandeep Gaikwad,

Pilli Lalitha Kumari

et al.

Advances in chemical and materials engineering book series, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 32

Published: Feb. 5, 2025

This chapter is focused on discussing various aspects of the application Artificial Neural Networks (ANNs) in scientific research with reference to physics, biology, chemistry, engineering, and environmental sciences. ANNs are discussed base modeling complicated systems, handling massive amounts data, as well forecasting different fields. Among them CNNs, RNNs, increasingly popular Transformers depending type data tasks they intended for. It also contains training, optimization performance measures which bare minimum indices defining stability efficiency ANN structures. Additionally, proposed system expanded incorporate other technologies, including IoT blockchain, while providing future prospects directions for Explainable AI (XAI) improved model interpretability.

Language: Английский

Citations

Deep Learning Approaches for Real-Time IoT Data Processing and Analysis DOI

Dankan Gowda,

Praveen Damacharla,

Vinod Kumar Maddineni

et al.

Published: Sept. 18, 2024

Language: Английский

Citations