Improving Fault Detection in Industrial Processes by Event-Driven Data Acquisition

Improving Fault Detection in Industrial Processes by Event-Driven Data Acquisition

Data acquisition in process industries usually takes place at each sampling. The disadvantage is that a considerable amount of data without new information about the state of the process is continuously transmitted and processed. This negatively affects the communication system and computational pow...

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Bibliographic Details
Main Authors: Daniel Gutierrez-Rojas, Pekka Rasanen, Ana Brandao Belisario, Merim Dzaferagic, Gustavo Matheus De Almeida, Pedro H. J. Nardelli
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Data acquisition
event-driven
signal reconstruction
fault detection
PCA
Tennessee benchmark
Online Access:https://ieeexplore.ieee.org/document/9834922/

Internet

https://ieeexplore.ieee.org/document/9834922/

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