A Novel PCA-Based Slug Flow Characterization Using Acoustic Sensing

Autor: Abdulmajid Lawal, Naveed Iqbal, Azzedine Zerguine, Mohamed Nabil Noui-Mehidi, Mohamed Larbi Zeghlache, Ali A. Al-Shaikhi

Publikováno v: IEEE Access, Vol 12, Pp 42849-42859 (2024)

In a modern industrial process, the accurate measurement of two-phase flow signals is of vital importance for various purposes including condition-based monitoring of pipelines, the avoidance of costly material and environmental damages, and danger t

Externí odkaz: https://doaj.org/article/f3b39724cf9e4f629fb5b2f6934de912

Signal Recovery from Randomly Quantized Data Using Neural Network Approach.

Autor: Al-Shaikhi A; Department of Electrical Engineering, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia.; Center for Communication Systems and Sensing, King Fahd University of Petroleum & Minerals, Dhahran 31261, Saudi Arabia.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Nov 11; Vol. 22 (22). Date of Electronic Publication: 2022 Nov 11.