Real-Time Fault Detection in Discrete Manufacturing Systems Via LSTM Model based on PLC Digital Control Signals

2021 ◽  
Vol 44 (2) ◽  
pp. 115-123
Author(s):  
Yong-Uk Song ◽  
Sujeong Baek
Keyword(s):  
Fault Detection ◽  
Real Time ◽  
Digital Control ◽  
Manufacturing Systems ◽  
Model Based ◽  
Control Signals ◽  
Discrete Manufacturing

Real-Time Model-Based Fault Detection and Diagnosis for Alternators and Induction Motors

2007 ◽  
Author(s):  
Daniel F. Leite ◽  
Michel B. Hell ◽  
Patricia H. Diez ◽  
Bernardo S. L. Gariglio ◽  
Lucas O. Nascimento ◽  
...  
Keyword(s):  
Fault Detection ◽  
Real Time ◽  
Induction Motors ◽  
Fault Detection And Diagnosis ◽  
Time Model ◽  
Model Based ◽  
Detection And Diagnosis

Novel real-time model-based fault detection method for automatic identification of abnormal energy performance in building ventilation units

2019 ◽  
Vol 183 ◽  
pp. 238-251 ◽  
Author(s):  
Mads Bang ◽  
Sebastian Skals Engelsgaard ◽  
Emil Kjøller Alexandersen ◽  
Mathis Riber Skydt ◽  
Hamid Reza Shaker ◽  
...  
Keyword(s):  
Fault Detection ◽  
Real Time ◽  
Detection Method ◽  
Energy Performance ◽  
Automatic Identification ◽  
Time Model ◽  
Model Based ◽  
Building Ventilation

Experimental approach applied to practical classes on digital control systems: A contribution from model-based control theory

2018 ◽  
Vol 57 (2) ◽  
pp. 99-132
Author(s):  
Ginalber LO Serra
Keyword(s):  
Real Time ◽  
Undergraduate Students ◽  
Digital Control ◽  
High Performance ◽  
Controller Design ◽  
Digital Controller ◽  
Model Based ◽  
Digital Control Systems ◽  
Federal Institute ◽  
Performance Specifications

In this paper, an experimental procedure used efficiently and successfully for teaching in practical classes of digital control course for undergraduate students who are attending the fifth year in Industrial Electrical Engineering at Federal Institute of Education, Sciences and Technology, in Brazil, is presented. The adopted methodology is characterized by the following steps: modeling of the dynamic system to be controlled from experimental data, model-based digital controller design according to pre-established performance specifications and implementation of the designed digital controller. The experiments are performed on a data acquisition platform, in real time, based on high performance virtual/electronics instrumentation, at Laboratory of Computational Intelligence Applied to Technology. Results from an experimental activity, developed by students in the digital control course, illustrate the main practical aspects that must be taken into account in design and implementation of real time digital PI/PID control.

Real-Time Model-Based Fault Detection and Isolation for UGVs

2009 ◽  
Vol 56 (4) ◽  
pp. 425-439 ◽  
Author(s):  
A. Monteriù ◽  
P. Asthana ◽  
K. P. Valavanis ◽  
S. Longhi
Keyword(s):  
Fault Detection ◽  
Real Time ◽  
Fault Detection And Isolation ◽  
Time Model ◽  
Model Based

scholarly journals Petri Net Model Based on Neural Network for Deadlock Control and Fault Detection and Treatment in Automated Manufacturing Systems

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 103219-103235
Author(s):  
Husam Kaid ◽  
Abdulrahman Al-Ahmari ◽  
Emad Abouel Nasr ◽  
Adel Al-Shayea ◽  
Ali K. Kamrani ◽  
...  
Keyword(s):  
Neural Network ◽  
Fault Detection ◽  
Petri Net ◽  
Manufacturing Systems ◽  
Automated Manufacturing ◽  
Automated Manufacturing Systems ◽  
Model Based

Real-Time Model-Based Fault Detection of Continuous Glucose Sensor Measurements

2017 ◽  
Vol 64 (7) ◽  
pp. 1437-1445 ◽  
Author(s):  
Kamuran Turksoy ◽  
Anirban Roy ◽  
Ali Cinar
Keyword(s):  
Fault Detection ◽  
Real Time ◽  
Glucose Sensor ◽  
Time Model ◽  
Model Based
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