A Fault Detection Algorithm Using an Adaptive Fading Kalman Filter for Various Types of GNSS Fault

2015 ◽  
Author(s):  
Sun Young Kim ◽  
Chang Ho Kang ◽  
Chan Gook Park
Keyword(s):  
Kalman Filter ◽  
Fault Detection ◽  
Detection Algorithm

A Dual Fault Detection Algorithm Based on the Federated Kalman Filter to Enhance the Reliability of the Navigation System

2020 ◽  
Vol 26 (2) ◽  
pp. 136-143
Author(s):  
Eung Ju Kim ◽  
Seong Taek Kim ◽  
Yong Hun Kim ◽  
Min Jun Choi ◽  
Do Hoang Viet ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Fault Detection ◽  
Navigation System ◽  
Detection Algorithm ◽  
Federated Kalman Filter

FAULT DETECTION ALGORITHM FOR TEMPERATURE SENSORS OF HOUSEHOLD REFRIGERATORS

2017 ◽  
Author(s):  
Everton Machado ◽  
Alexsandro Santos Silveira ◽  
Alexandre Trofino ◽  
claudio melo
Keyword(s):  
Fault Detection ◽  
Detection Algorithm ◽  
Temperature Sensors

Sensor fault detection, isolation and system reconfiguration based on extended Kalman filter for induction motor drives

2013 ◽  
Vol 7 (7) ◽  
pp. 607-617 ◽  
Author(s):  
Xinan Zhang ◽  
Gilbert Foo ◽  
Mahinda Don Vilathgamuwa ◽  
King Jet Tseng ◽  
Bikramjit Singh Bhangu ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Fault Detection ◽  
Induction Motor ◽  
Extended Kalman Filter ◽  
Motor Drives ◽  
Sensor Fault ◽  
Induction Motor Drives ◽  
System Reconfiguration ◽  
Sensor Fault Detection

scholarly journals Particle Swarm Optimization Based Adaptive Kalman Filters for Fault Diagnosis of Reaction Wheels

2021 ◽  
Author(s):  
Afshin Rahimi
Keyword(s):  
Parameter Estimation ◽  
Kalman Filter ◽  
Fault Diagnosis ◽  
Fault Detection ◽  
Unscented Kalman Filter ◽  
Particle Swarm ◽  
Filter Parameter ◽  
Filter Performance ◽  
Filter Tuning ◽  
Selection Of

There has been an increasing interest in fault diagnosis in recent years, as a result of the growing demand for higher performance, efficiency, reliability and safety in control systems. A faulty sensor or actuator may cause process performance degradation, process shut down, or a fatal accident. Quick fault detection and isolation can help avoid abnormal event progression and minimize the quality and productivity offsets. In space systems specifically, space and power are limited in the satellites, which means that hardware redundancy is not very practical. If actuator faults occur, analytical redundancy techniques should be employed to determine if, where, and how the fault(s) occurred. To do so, different approaches have been developed and studied and one of the wellknown approaches in the literature is using the Kalman Filter as an observer for the purpose of parameter estimation and fault detection. The gains for the filter should be selected and the selection of the process and measurement noise statistics, commonly referred to as “filter tuning,” is a major implementation issue for the Kalman filter. This process can have a significant impact on the filter performance. In practice, Kalman filter tuning is often an ad-hoc process involving a considerable amount of time for trial and error to obtain a filter with desirable –qualitative or quantitative- performance characteristics. This thesis focuses on presenting an algorithm for automation of the selection of the gains using an evolutionary swarm intelligence based optimization algorithm (Particle Swarm) to minimize the residuals of the estimated parameters. The methodology can be applied to any filter or controller but in this thesis, an Adaptive Unscented Kalman Filter parameter estimation applied to a reaction wheel unit is used for the purpose of performance evaluation of the proposed methodology.

Fault Detection Algorithm Design for Electro-Mechanical Brake

2009 ◽  
Author(s):  
Kwangjin Han ◽  
Inkeun Kim ◽  
Kunsoo Huh ◽  
Myoungjune Kim ◽  
Joogon Kim ◽  
...  
Keyword(s):  
Fault Detection ◽  
Algorithm Design ◽  
Detection Algorithm

scholarly journals Highly scalable intelligent sensory application and time domain matrix for safety-critical system design

2018 ◽  
Vol 14 (4) ◽  
pp. 155014771774110
Author(s):  
Taikyeong Ted Jeong
Keyword(s):  
Fault Detection ◽  
Detection Algorithm ◽  
Network Interface ◽  
Critical System ◽  
Communication Architecture ◽  
Interface Card ◽  
Safety Critical ◽  
Verification Methods ◽  
Communication Architectures ◽  
And Performance

The designs of highly scalable intelligent sensory application—Ethernet-based communication architectures—are moving toward the integration of a fault recovery and fault-detection algorithm on the automotive industry. In particular, each port on the same network interface card design is required to provide highly scalable and low-latency communication. In this article, we present a study of intelligent sensory application for the Ethernet-based communication architecture and performance of multi-port configuration which is mainly used in safety-enhanced application such as automotive, military, finance, and aerospace, in other words, safety-critical applications. Our contributions and observations on the highly scalable intelligent behavior: (1) proposed network interface card board design scheme and architecture with multi-port configuration are a stable network configuration; (2) timing matrix is defined for fault detection and recovery time; (3) experimental and related verification methods by cyclic redundancy check between client–server and testing platform provide comparable results to each port configurations; and (4) application program interface–level algorithm is defined to make network interface card ready for fault detection.

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