Discrete Fault Diagnosis of Structurally Reconfigurable Systems

2021 ◽  
Author(s):  
Eeshan Deosthale ◽  
Daniel Jung ◽  
Qadeer Ahmed
Keyword(s):  
Fault Diagnosis ◽  
Structural Analysis ◽  
Fault Detection ◽  
Hybrid Systems ◽  
Fault Tolerant ◽  
Automatic Transmission ◽  
Sensor Selection ◽  
Reconfigurable Systems ◽  
Mode Identification ◽  
Selection For

Abstract Fault diagnosis of a certain class of hybrid systems referred to as Structurally Reconfigurable (SR) systems is complicated. This is because SR systems tend to switch their configuration which may or may not be faulty. It is important to identify the mode of the SR system along with the corresponding fault if any, in order to facilitate a fault tolerant action. This paper combines discrete fault diagnosis with mode identification for SR systems to achieve two main objectives: Sensor selection for fault detection, isolation and mode identification, and residual selection for mode identification. The framework is built using a structural analysis based approach to meet these objectives. This framework is demonstrated for a 10-Speed Automatic Transmission, which is an illustrative example of SR systems.

scholarly journals Advanced Adaptive Fault Diagnosis and Tolerant Control for Robot Manipulators

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1281 ◽  
Author(s):  
Farzin Piltan ◽  
Cheol-Hong Kim ◽  
Jong-Myon Kim
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Fault Tolerant Control ◽  
Sliding Surface ◽  
Surface Slope ◽  
Extended State ◽  
Mode Estimation ◽  
Fuzzy Sliding Mode

In this paper, an adaptive Takagi–Sugeno (T–S) fuzzy sliding mode extended autoregressive exogenous input (ARX)–Laguerre proportional integral (PI) observer is proposed. The proposed T–S fuzzy sliding mode extended-state ARX–Laguerre PI observer adaptively improves the reliability, robustness, estimation accuracy, and convergence of fault detection, estimation, and identification. For fault-tolerant control in the presence of uncertainties and unknown conditions, an adaptive fuzzy sliding mode estimation technique is introduced. The sliding surface slope gain is significant to improve the system’s stability, but the sliding mode technique increases high-frequency oscillation (chattering), which reduces the precision of the fault diagnosis and tolerant control. A fuzzy procedure using a sliding surface and actual output position as inputs can adaptively tune the sliding surface slope gain of the sliding mode fault-tolerant control technique. The proposed robust adaptive T–S fuzzy sliding mode estimation extended-state ARX–Laguerre PI observer was verified with six degrees of freedom (DOF) programmable universal manipulation arm (PUMA) 560 robot manipulator, proving qualified efficiency in detecting, isolating, identifying, and tolerant control for faults inherent in sensors and actuators. Experimental results showed that the proposed technique improves the reliability of the fault detection, estimation, identification, and tolerant control.

scholarly journals Design and Evaluation of a Structural Analysis-Based Fault Detection and Identification Scheme for a Hydraulic Torque Converter

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4103
Author(s):  
Qi Chen ◽  
Jincheng Wang ◽  
Qadeer Ahmed
Keyword(s):  
Structural Analysis ◽  
Fault Detection ◽  
High Efficiency ◽  
Automatic Transmission ◽  
Torque Converter ◽  
Effect Analysis ◽  
Scheme Design ◽  
Detection And Identification ◽  
Fault Detection And Identification ◽  
Hydraulic Torque Converter

A hydraulic torque converter (HTC) is a key component in an automatic transmission. To monitor its operating status and to detect and locate faults, and considering the high-efficiency fault detection and identification (FDI) scheme design by the methodology of structural analysis (SA), this paper presents an SA-based FDI system design and validation for the HTC. By the technique of fault mode and effect analysis (FMEA), eight critical faults are obtained, and then two fault variables are chosen to delegate them. Fault detectability and isolability, coupled with different sensor placements, are analyzed, and as a result, two speed sensors and two torque sensors of pump and turbine are selected to realize the maximal fault detectability and fault isolability: all six faults are detectable, four faults are uniquely isolable, and two faults are isolated from the other faults, but not from each other. Then five minimal structurally overdetermined (MSO) sets are easily acquired by SA to generate five corresponding residuals. The proposed FDI scheme of the HTC by SA is first validated by a theoretical model, then by an offline experiment in a commercial SUV, and the testing results indicate a consistent conclusion with the simulations and theory analysis.

scholarly journals Sensor selection for fault diagnosis in uncertain systems

2018 ◽  
Vol 93 (3) ◽  
pp. 629-639 ◽  
Author(s):  
Daniel Jung ◽  
Yi Dong ◽  
Erik Frisk ◽  
Mattias Krysander ◽  
Gautam Biswas
Keyword(s):  
Fault Diagnosis ◽  
Uncertain Systems ◽  
Sensor Selection ◽  
Selection For

Data-Driven Modeling, Fault Diagnosis and Optimal Sensor Selection for HVAC Chillers

2007 ◽  
Vol 4 (3) ◽  
pp. 469-473 ◽  
Author(s):  
Setu Madhavi Namburu ◽  
Mohammad S. Azam ◽  
Jianhui Luo ◽  
Kihoon Choi ◽  
Krishna R. Pattipati
Keyword(s):  
Fault Diagnosis ◽  
Sensor Selection ◽  
Data Driven ◽  
Selection For ◽  
Data Driven Modeling

scholarly journals Study by modeling and simulation of open-switch fault diagnosis for five-level converters

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Florent Becker ◽  
Ehsan Jamshidpour ◽  
Philippe Poure ◽  
Shahrokh Saadate
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Fault Tolerant ◽  
Fault Localization ◽  
Open Circuit ◽  
System Reconfiguration ◽  
Open Switch ◽  
Diagnosis Method ◽  
Control Orders ◽  
Detection And Localization

In this paper, an open-switch fault diagnosis method for five-level H-Bridge Neutral Point Piloted (HB-NPP) or T-type converters is proposed. While fault tolerant operation is based on three steps (fault detection, fault localization and system reconfiguration), a fast fault diagnosis, including both fault detection and localization, is mandatory to make a suitable response to an open-circuit fault in one of the switches of the converter. Furthermore, fault diagnosis is necessary in embedded and safety critical applications, to prevent further damage and perform continuity of service.In this paper, we present an open-switch fault diagnosis method, based on the switches control orders and the observation of the converter output voltage level. In five-level converters such as HB-NPP and T-type topologies, some switches are mostly 'on' at the same time. Therefore, the fault localization is quite complicated. The fault diagnosis method we proposed is capable to detect and localize an open-switch fault in all cases. Computer simulations are carried out by using Matlab Simulink and SimPowerSystem toolbox to validate the proposed approach.

scholarly journals A model-based approach to fault-tolerant control

2012 ◽  
Vol 22 (1) ◽  
pp. 67-86 ◽  
Author(s):  
Hans Niemann
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Theoretical Basis ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Fault Detection And Isolation ◽  
Systematic Technique ◽  
Model Based ◽  
Controller Parameterization

A model-based approach to fault-tolerant controlA model-based controller architecture for Fault-Tolerant Control (FTC) is presented in this paper. The controller architecture is based on a general controller parameterization. The FTC architecture consists of two main parts, a Fault Detection and Isolation (FDI) part and a controller reconfiguration part. The theoretical basis for the architecture is given followed by an investigation of the single parts in the architecture. It is shown that the general controller parameterization is central in connection with both fault diagnosis as well as controller reconfiguration. Especially in relation to the controller reconfiguration part, the application of controller parameterization results in a systematic technique for switching between different controllers. This also allows controller switching using different sets of actuators and sensors.

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