Abstract
This paper proposes an architecture to online fault detection in a vertical axis multistage centrifugal pump. This is based on a serverless approach due to its advantages such as being able to create and execute applications and services without having to manage an infrastructure, besides being easily scalable. The purpose of this work is to expose the development of the architecture and its implementation in a well stablished cloud provider. Thus, performance tests were applied to an implementation of the proposed architecture with data acquired from the machine running in normal and faulty condition. The results showed that the proposal is feasible to be used for the fault detection task.
Original language | English |
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Title of host publication | Lecture Notes on Data Engineering and Communications Technologies |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 507-512 |
Number of pages | 6 |
DOIs | |
State | Published - 2023 |
Publication series
Name | Lecture Notes on Data Engineering and Communications Technologies |
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Volume | 160 |
ISSN (Print) | 2367-4512 |
ISSN (Electronic) | 2367-4520 |
Bibliographical note
Funding Information:Acknowledgment. This work is supported in part by the MOST Science and Technology Partnership Program (KY201802006), and National Research Base of Intelligent Manufacturing Service Chongqing Technology and Business University and the Universidad Politécnica Salesiana through the GIDTEC research group.
Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Keywords
- Centrifugal pump
- Cloud computing
- Fault detection