Failure detection of dynamical systems with the state chi-square test

Da, Ren

doi:10.2514/3.21193

Cited by 66 publications

(32 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the third possible scenario ( 1 < ( ) ≤ 2 ), the sensor belongs to an intermediate state which is between the state of attack and being ideal (the sensor is softly attacked; i.e., it could be a candidate for an attacked sensor). Theoretically speaking, the quadratic term ( ) ∈ R + appearing in (18) has three degrees of freedom as it is distributed according to the 2 distribution [18]. The limit values ( 1 and 2 ) defined in (20) are obtained based on this fact and using standard 2 tables.…”

Section: Attack Isolation Frameworkmentioning

confidence: 99%

See 1 more Smart Citation

Attack Detection/Isolation via a Secure Multisensor Fusion Framework for Cyberphysical Systems

2018

View full text Add to dashboard Cite

Motivated by rapid growth of cyberphysical systems (CPSs) and the necessity to provide secure state estimates against potential data injection attacks in their application domains, the paper proposes a secure and innovative attack detection and isolation fusion framework. The proposed multisensor fusion framework provides secure state estimates by using ideas from interactive multiple models (IMM) combined with a novel fuzzy-based attack detection/isolation mechanism. The IMM filter is used to adjust the system's uncertainty adaptively via model probabilities by using a hybrid state model consisting of two behaviour modes, one corresponding to the ideal scenario and one associated with the attack behaviour mode. The state chi-square test is then incorporated through the proposed fuzzy-based fusion framework to detect and isolate potential data injection attacks. In other words, the validation probability of each sensor is calculated based on the value of the chi-square test. Finally, by incorporation of the validation probability of each sensor, the weights of its associated subsystem are computed. To be concrete, an integrated navigation system is simulated with three types of attacks ranging from a constant bias attack to a non-Gaussian stochastic attack to evaluate the proposed attack detection and isolation fusion framework.

show abstract

Section: Attack Isolation Frameworkmentioning

confidence: 99%

“…where the required threshold ( ) is computed based on the available tables for 2 -test [18]. In order to define whether sensor , for (1 ≤ ≤ ), is attacked or not, a validation probability is defined corresponding to each sensor.…”

Section: Attack Isolation Frameworkmentioning

confidence: 99%

Attack Detection/Isolation via a Secure Multisensor Fusion Framework for Cyberphysical Systems

2018

View full text Add to dashboard Cite

show abstract

“…In Brown and Hwang's method [5], they used past information as well, which examines fault at a current time based on the verified past information. In addition, Da used the residual and covariance from the Kalman filter, and proposed a Chi-Square test method to monitor the fault in a GPS/INS integration system [9]. This method also monitors fault in current measurement based on verified past information.…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of GPS Fault Detection and Isolation via Pseudorange Prediction Model based Test Statistics

Yoo¹,

Ahn²,

Lee³

et al. 2012

Journal of Electrical Engineering and Technology

View full text Add to dashboard Cite

-Fault detection and isolation (FDI) algorithms provide fault monitoring methods in GPS measurement to isolate abnormal signals from the GPS satellites or the acquired signal in receiver. In order to monitor the occurred faults, FDI generates test statistics and decides the case that is beyond a designed threshold as a fault. For such problem of fault detection and isolation, this paper presents and evaluates position domain integrity monitoring methods by formulating various pseudorange prediction methods and investigating the resulting test statistics. In particular, precise measurements like carrier phase and Doppler rate are employed under the assumption of fault free carrier signal. The presented position domain algorithm contains the following process; first a common pseudorange prediction formula is defined with the proposed variations in pseudorange differential update. Next, a threshold computation is proposed with the test statistics distribution considering the elevation angle. Then, by examining the test statistics, fault detection and isolation is done for each satellite channel. To verify the performance, simulations using the presented fault detection methods are done for an ideal and real fault case, respectively.

show abstract

“…In the residual test scheme, picking out the sporadic errors is easy, but detecting the gradually increasing error in the measurement is not. FD may be conducted by examining the probabilistic property of the estimated state itself instead of the residuals [5], yet a precise reference system unaffected by failures is required in implementation [17].…”

Section: Introductionmentioning

confidence: 99%

GPS Integrity Monitoring Method Using Auxiliary Nonlinear Filters with Log Likelihood Ratio Test Approach

Ahn¹,

Rosihan²,

Won³

et al. 2011

Journal of Electrical Engineering and Technology

View full text Add to dashboard Cite

-Reliability is an essential factor in a navigation system. Therefore, an integrity monitoring system is considered one of the most important parts in an avionic navigation system. A fault due to systematic malfunctioning definitely requires integrity reinforcement through systematic analysis. In this paper, we propose a method to detect faults of the GPS signal by using a distributed nonlinear filter based probability test. In order to detect faults, consistency is examined through a likelihood ratio between the main and auxiliary particle filters (PFs). Specifically, the main PF which includes all the measurements and the auxiliary PFs which only do partial measurements are used in the process of consistency testing. Through GPS measurement and the application of the autonomous integrity monitoring system, the current study illustrates the performance of the proposed fault detection algorithm

show abstract

Failure detection of dynamical systems with the state chi-square test

Cited by 66 publications

References 12 publications

Attack Detection/Isolation via a Secure Multisensor Fusion Framework for Cyberphysical Systems

Attack Detection/Isolation via a Secure Multisensor Fusion Framework for Cyberphysical Systems

Performance Comparison of GPS Fault Detection and Isolation via Pseudorange Prediction Model based Test Statistics

GPS Integrity Monitoring Method Using Auxiliary Nonlinear Filters with Log Likelihood Ratio Test Approach

Contact Info

Product

Resources

About