A hybrid-logic approach towards fault detection in complex cyber-physical systems

Nisheeth Srivastava, Jaideep Srivastava

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Existing data mining approaches to complex systems anomaly detection use uni-variate and/or multi-variate statistical hypothesis testing to assign anomaly scores to data streams associated with system components. The former approach assumes statistical independence of individual components, while the latter assumes substantial global systemic correlation. As a compromise between these two epistemological extremes, we present a data-mining approach hybridizing existing statistical techniques with theorem-proving methods to create a novel algorithm for anomaly detection, diagnosis and control in complex systems. Our algorithm takes sensor inputs from physical sensors providing system subcomponent performance data and outputs (i) a global systemic risk indicator and (ii) possible diagnosis hypotheses. We present results on three different systems, and in comparison with current state-of-the-art fault detection algorithms to demonstrate the viability of our approach. We find that our algorithm proves robust towards increased data dimensionality in contrast with existing clustering-based fault detection methods and can also detect contextual faults that are undetectable using existing statistical techniques.

Original languageEnglish
Title of host publicationAnnual Conference of the Prognostics and Health Management Society, PHM 2010
PublisherPrognostics and Health Management Society
ISBN (Print)9781936263011
Publication statusPublished - 2010
Externally publishedYes
EventAnnual Conference of the Prognostics and Health Management Society, PHM 2010 - Portland
Duration: 13 Oct 201016 Oct 2010

Other

OtherAnnual Conference of the Prognostics and Health Management Society, PHM 2010
CityPortland
Period13/10/1016/10/10

Fingerprint

Fault detection
Data Mining
Data mining
Large scale systems
Theorem proving
Sensors
Cluster Analysis
Cyber Physical System
Testing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Health Information Management
  • Computer Science Applications
  • Software

Cite this

Srivastava, N., & Srivastava, J. (2010). A hybrid-logic approach towards fault detection in complex cyber-physical systems. In Annual Conference of the Prognostics and Health Management Society, PHM 2010 Prognostics and Health Management Society.

A hybrid-logic approach towards fault detection in complex cyber-physical systems. / Srivastava, Nisheeth; Srivastava, Jaideep.

Annual Conference of the Prognostics and Health Management Society, PHM 2010. Prognostics and Health Management Society, 2010.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Srivastava, N & Srivastava, J 2010, A hybrid-logic approach towards fault detection in complex cyber-physical systems. in Annual Conference of the Prognostics and Health Management Society, PHM 2010. Prognostics and Health Management Society, Annual Conference of the Prognostics and Health Management Society, PHM 2010, Portland, 13/10/10.
Srivastava N, Srivastava J. A hybrid-logic approach towards fault detection in complex cyber-physical systems. In Annual Conference of the Prognostics and Health Management Society, PHM 2010. Prognostics and Health Management Society. 2010
Srivastava, Nisheeth ; Srivastava, Jaideep. / A hybrid-logic approach towards fault detection in complex cyber-physical systems. Annual Conference of the Prognostics and Health Management Society, PHM 2010. Prognostics and Health Management Society, 2010.
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