Detection of Cracks in the Industrial System Using Adaptive Principal Component Analysis and Wavelet Denoising-Reference-Cited by-同舟云学术

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Detection of Cracks in the Industrial System Using Adaptive Principal Component Analysis and Wavelet Denoising

Published:2024-03-25 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Industrial Technology (ICIT)
language:
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Author:

Faizan-e-Mustafa ¹,Ahmed Ijaz¹,Maaruf Muhammad²,Khalid Muhammad³

Affiliation:

1. Pakistan Institute of Engineering and Applied Sciences (PlEAS),Islamabad,Pakistan,44650

2. King Fahd University of Petroleum & Minerals (KFUPM),Control & Instrumentation Engineering Department,Dhahran,Saudi Arabia,31261

3. KFUPM,Electrical Engineering Department,Dhahran,Saudi Arabia,31261

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10540646/10540608/10540880.pdf?arnumber=10540880

Reference25 articles.

1. A review on effective alarm management systems for industrial process control: Barriers and opportunities

2. A novel distributed approach for event-triggered economic dispatch of energy hubs under ramp-rate limits integrated with sustainable energy networks

3. Emerging Trends and Approaches for Designing Net-Zero Low-Carbon Integrated Energy Networks: A Review of Current Practices

4. Adaptive Swarm Intelligence-Based Optimization Approach for Smart Grids Power Dispatch

5. A novel computational paradigm for scheduling of hybrid energy networks considering renewable uncertainty limitations

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