Instrument Reliability using Predictive Analytics (IRIS)-Reference-Cited by-同舟云学术

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Instrument Reliability using Predictive Analytics (IRIS)

Published:2024-03-01 Issue: Volume: Page:230-235
ISSN:
Container-title:2024 20th IEEE International Colloquium on Signal Processing & Its Applications (CSPA)
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Author:

Haziz Effendy¹,Mohamed Rasidi²,Ghazali M Feizal M³,Rahiman Mohd Hezri Fazalul⁴

Affiliation:

1. Instrument & Control Principal, Group Technical Solutions, PD&T, PETRONAS,Malaysia

2. Instrument & Control Custodian, Group Technical Solutions, PD&T, PETRONAS,Malaysia

3. Instrument & Control Group Technical Authority, Group Technical Solutions, PD&T, PETRONAS,Malaysia

4. School of Electrical Engineering College of Engineering UiTM Shah Alam,Malaysia

Funder

PETRONAS

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10525259/10525269/10525647.pdf?arnumber=10525647

Reference10 articles.

1. Electrical Circuit Protection and Switchgear Standards - ARC Flash, Monitoring and Relaying Applications

2. Sensors and Instrumentation for Downhole Environments - Challenges and Opportunities

3. Maintenance Strategy Selection Using AHP: A Case Study in the Oil and Gas Industry

4. The Prediction of Remaining Useful Life (RUL) in Oil and Gas Industry using Artificial Neural Network (ANN) Algorithm

5. AI-Driven Maintenance Support for Downhole Tools and Electronics Operated in Dynamic Drilling Environments

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