The information technologies are used as tools for predictive maintenance. They allow to anticipate any severe damage on industrial machines. This paper proposes a system for fault detection in rotating machines through the acquisition and processing of acoustic signals under the framework of service oriented architecture (SOA). The system takes advantage of resources such as mobile devices for the acquisition of acoustic signals, a computer server for data storage and processing, and web services as a service orchestrator between the mobile device and the processing stage. After the system implementation its functionality is evaluated in the fault detection of gearboxes, resulting in a high detection rate.
|Title of host publication||2020 IEEE ANDESCON, ANDESCON 2020|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - 13 Oct 2020|
|Event||2020 IEEE ANDESCON, ANDESCON 2020 - Quito, Ecuador|
Duration: 13 Oct 2020 → 16 Oct 2020
|Name||2020 IEEE ANDESCON, ANDESCON 2020|
|Conference||2020 IEEE ANDESCON, ANDESCON 2020|
|Period||13/10/20 → 16/10/20|
Bibliographical noteFunding Information:
Authors would like to thank the support provided by Universidad Politécnica Salesiana through the research group GIDTEC.
© 2020 IEEE.
- Information Technologies
- Mobile Applications
- Predictive Maintenance
- Web Services