A methodology for distributed fault diagnosis

In this paper, a methodology for distributed fault diagnosis is proposed. The algorithm places the sensors in a system in such a manner that the partition of a system into various subsystems becomes easier facilitating the implementation of a distributed fault diagnosis system. This algorithm also reduces or minimized the number of sensors to be used or install thus reducing overall cost. Binary integer linear programming is used for optimization in this algorithm. Real case study of Barcelona water network has been used to demonstrate and validate the proposed algorithm.

[1]  Vicenç Puig,et al.  Decentralised Fault Diagnosis of Large-Scale Systems: Application to Water Transport Networks , 2015, DX@Safeprocess.

[2]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part I: Quantitative model-based methods , 2003, Comput. Chem. Eng..

[3]  Carlos Ocampo-Martinez,et al.  Modelling and decentralized model predictive control of drinking water networks: the Barcelona case study , 2009 .

[4]  Teresa Escobet,et al.  Diagnosability Analysis Based on Component-Supported Analytical Redundancy Relations , 2006, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[5]  Michel Kinnaert,et al.  Diagnosis and Fault-tolerant Control, 2nd edition , 2006 .

[6]  Vicenç Puig,et al.  Decentralized fault diagnosis using analytical redundancy relations: Application to a water distribution network , 2016, 2016 European Control Conference (ECC).

[7]  Raghunathan Rengaswamy,et al.  Locating sensors in complex chemical plants based on fault diagnostic observability criteria , 1999 .

[8]  A. Benveniste,et al.  Optimal sensor location for detecting changes in dynamical behavior , 1986, 1986 25th IEEE Conference on Decision and Control.

[9]  Gautam Biswas,et al.  Off-line robust residual selection using sensitivity analysis , 2014 .

[10]  C. Ocampo‐Martinez,et al.  Partitioning Approach oriented to the Decentralised Predictive Control of Large-Scale Systems , 2011 .

[11]  Gautam Biswas,et al.  Minimal Structurally Overdetermined Sets Selection for Distributed Fault Detection , 2015, DX@Safeprocess.