"AI Based Predictive Machine Breakdown Alert"

This paper presents an AI-based predictive machine breakdown alert system designed to identify potential machine failures before they occur. The system analyses machine-related data to detect abnormal patterns and predict possible breakdown risks. It aims to support early maintenance planning, reduce unexpected downtime, improve operational efficiency, and minimise maintenance costs. The proposed software-based approach demonstrates how machine learning can assist in predictive maintenance and help improve equipment reliability.--

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-13
DOI
https://doi.org/10.5281/zenodo.23331013
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
Field-Weighted Citation Impact
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article

"AI Based Predictive Machine Breakdown Alert"

Thactchayani, Sarika, RUbika A
Zenodo (CERN European Organization for Nuclear Research)
Machine Fault Diagnosis Techniques
article

"AI Based Predictive Machine Breakdown Alert"

Thactchayani, Sarika, RUbika A
article en

Abstract

This paper presents an AI-based predictive machine breakdown alert system designed to identify potential machine failures before they occur. The system analyses machine-related data to detect abnormal patterns and predict possible breakdown risks. It aims to support early maintenance planning, reduce unexpected downtime, improve operational efficiency, and minimise maintenance costs. The proposed software-based approach demonstrates how machine learning can assist in predictive maintenance and help improve equipment reliability.--

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 17%
Machine Fault Diagnosis Techniques
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