Temporal Causal Diagrams for Diagnosing Failures in Cyber-Physical Systems

Nagbhushan Mahadevan, Abhishek Dubey, Gabor Karsai, Anurag K. Srivastava, and Chen Ching Liu
Submission Type: 
Full Paper
AttachmentSizeTimestamp
phmc_14_028.pdf1.4 MBSeptember 17, 2014 - 7:40am

Resilient and reliable operation of cyber physical systems of societal importance such as Smart Electric Grids is one of the top national priorities. Due to their critical nature, these systems are equipped with fast-acting, local protection mechanisms. However, commonly misguided protection actions together with system dynamics can lead to un-intentional cascading effects. This paper describes the ongoing work using Temporal Causal Diagrams (TCD), a refinement of the Timed Failure Propagation Graphs (TFPG), to diagnose problems associated with the power transmission lines protected by a combination of relays and breakers.

The TCD models represent the faults and their propagation as TFPG, the nominal and faulty behavior of components (including local, discrete controllers and protection devices) as Timed Discrete Event Systems (TDES), and capture the cumulative and cascading effects of these interactions. The TCD diagnosis engine includes an extended TFPG-like reasoner which in addition to observing the alarms and mode changes (as the TFPG), monitors the event traces (that correspond to the behavioral aspects of the model) to generate hypotheses that consistently explain all the observations. In this paper, we show the results of applying the TCD to a segment of a power transmission system that is protected by distance relays and breakers.

Publication Year: 
2014
Publication Volume: 
5
Publication Control Number: 
028
Page Count: 
14
Submission Keywords: 
Power systems
fault diagnosis
temporal causal networks
Submission Topic Areas: 
Component-level PHM
Model-based methods for fault detection, diagnostics, and prognosis
Modeling and simulation
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