A soft sensor edge-based approach to fault diagnosis for piping systems

Author:

Dias Andre LuisORCID,Turcato Afonso CelsoORCID,Sestito Guilherme SerpaORCID

Funder

CNPq

Publisher

Elsevier BV

Reference32 articles.

1. A cloud-based condition monitoring system for fault detection in rotating machines using PROFINET process data;Dias;Comput. Ind.,2021

2. Artificial intelligence for fault diagnosis of rotating machinery: A review;Liu;Mech. Syst. Signal Process.,2018

3. Intelligent predictive maintenance of dynamic systems using condition monitoring and signal processing techniques — a review;Vanraj,2016

4. A new method for fault detection of rotating machines in motion control applications using profidrive information and support vector machine classifier;Dias;ASME. J. Dyn. Sys., Meas., Control,2020

5. Modern soft-sensing modeling methods for fermentation processes;Zhu;Sensors,2020

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