A Novel CNN Approach for Condition Monitoring of Hydraulic Systems
- Title
- A Novel CNN Approach for Condition Monitoring of Hydraulic Systems
- Creator
- Khan R.; Bhagat V.; Ganie A.H.
- Description
- In the dynamic landscape of Industry 4.0, the ascendancy of predictive analytics methods is a pivotal paradigm shift. The persistent challenge of machine failures poses a substantial hurdle to the seamless functioning of factories, compelling the need for strategic solutions. Traditional reactive maintenance checks, though effective, fall short in the face of contemporary demands. Forward-thinking leaders recognize the significance of integrating data-driven techniques to not only minimize disruptions but also enhance overall operational productivity while mitigating redundant costs. The innovative model proposed herein harnesses the robust capabilities of Convolutional Neural Networks (CNN) for predictive analytics. Distinctively, it selectively incorporates the most influential variables linked to each of the four target conditions, optimizing the model's predictive precision. The methodology involves a meticulous process of variable extraction based on a predetermined threshold, seamlessly integrated with the CNN framework. This nuanced and refined approach epitomizes a forward-looking strategy, empowering the model to discern intricate failure patterns with a high degree of accuracy. 2024 IEEE.
- Source
- TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024
- Date
- 2024-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- CNN; Deep Learning; Industry 4.0; Operations Management; Predictive Maintenance
- Coverage
- Khan R., Dept. of Data Science, Christ (Deemed to Be) University, Bangalore, India; Bhagat V., Dept. of Data Science, Christ (Deemed to Be) University, Bangalore, India; Ganie A.H., Dept. of Data Science, Christ (Deemed to Be) University, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISBN: 979-835038427-7
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Khan R.; Bhagat V.; Ganie A.H., “A Novel CNN Approach for Condition Monitoring of Hydraulic Systems,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19168.