Enhancement of autoregressive model based gear tooth fault detection technique by the use of minimum entropy deconvolution filter

2007 ◽  
Vol 21 (2) ◽  
pp. 906-919 ◽  
Author(s):  
H. Endo ◽  
R.B. Randall
Keyword(s):  
Fault Detection ◽  
Autoregressive Model ◽  
Gear Tooth ◽  
Detection Technique ◽  
Minimum Entropy ◽  
Model Based

scholarly journals Model-Based Fault Detection of Inverter-Based Microgrids and a Mathematical Framework to Analyze and Avoid Nuisance Tripping and Blinding Scenarios

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2152 ◽  
Author(s):  
Hashim Al Hassan ◽  
Andrew Reiman ◽  
Gregory Reed ◽  
Zhi-Hong Mao ◽  
Brandon Grainger
Keyword(s):  
Fault Detection ◽  
Low Voltage ◽  
Detection Technique ◽  
Mathematical Framework ◽  
Fault Current ◽  
Low Voltage Ride Through ◽  
Model Based ◽  
Wide Range ◽  
Nuisance Tripping ◽  
Dynamic Relationships

Traditional protection methods such as over-current or under-voltage methods are unreliable in inverter-based microgrid applications. This is primarily due to low fault current levels because of power electronic interfaces to the distributed energy resources (DER), and IEEE1547 low-voltage-ride-through (LVRT) requirements for renewables in microgrids. However, when faults occur in a microgrid feeder, system changes occur which manipulate the internal circuit structure altering the system dynamic relationships. This observation establishes the basis for a proposed, novel, model-based, communication-free fault detection technique for inverter-based microgrids. The method can detect faults regardless of the fault current level and the microgrid mode of operation. The approach utilizes fewer measurements to avoid the use of a communication system. Protecting the microgrid without communication channels could lead to blinding (circuit breakers not tripping for faults) or nuisance tripping (tripping incorrectly). However, these events can be avoided with proper system design, specifically with appropriately sized system impedance. Thus, a major contribution of this article is the development of a mathematical framework to analyze and avoid blinding and nuisance tripping scenarios by quantifying the bounds of the proposed fault detection technique. As part of this analysis, the impedance based constraints for microgrid system feeders are included. The performance of the proposed technique is demonstrated in the MATLAB/SIMULINK (MathWorks, Natick, MA, USA) simulation environment on a representative microgrid architecture showing that the proposed technique can detect faults for a wide range of load impedances and fault impedances.

Improved model based fault detection technique and application to humanoid robots

Mechatronics ◽  
2018 ◽  
Vol 53 ◽  
pp. 140-151 ◽  
Author(s):  
Ons Amri ◽  
Majdi Mansouri ◽  
Ayman Al-Khazraji ◽  
Hazem Nounou ◽  
Mohamed Nounou ◽  
...  
Keyword(s):  
Fault Detection ◽  
Humanoid Robots ◽  
Detection Technique ◽  
Model Based ◽  
Improved Model

An online winding fault detection technique for fault-tolerant PM machines

2009 ◽  
Vol 40 (3) ◽  
pp. 289-296 ◽  
Author(s):  
Z. Sun ◽  
J. Wang ◽  
D. Howe ◽  
G.W. Jewell
Keyword(s):  
Fault Detection ◽  
Fault Tolerant ◽  
Detection Technique
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