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Research Papers: Energy Systems Analysis

A Global and a Local Approach With Evolutionary Algorithms to Locate Malfunction Causes in Energy Systems

[+] Author and Article Information
Andrea Toffolo

Department of Mechanical Engineering, University of Padova, via Venezia, 1-35151 Padova, Italy

Andrea Lazzaretto1

Department of Mechanical Engineering, University of Padova, via Venezia, 1-35151 Padova, Italyandrea.lazzaretto@unipd.it

1

Corresponding author.

J. Energy Resour. Technol 131(4), 042001 (Oct 12, 2009) (7 pages) doi:10.1115/1.4000172 History: Received July 11, 2007; Revised June 24, 2009; Published October 12, 2009

Energy system performance may differ from the expected one during actual operation because of the effects of faults, anomalies, and wear and tear due to normal use. One of the main issues of diagnosis, i.e., the procedure to discover the causes of malfunctions, is to find the way back from measured altered performance to the original cause. Several procedures were proposed in the literature to solve the diagnostic problem, usually based on the comparison between a reference nonmalfunctioning condition and an actual, possibly malfunctioning, condition. A different strategy is suggested in the paper. A direct search of the possible causes of malfunctions is performed by means of an evolutionary algorithm: a component fault is arbitrarily introduced in a model of the healthy system by substituting the reference characteristic curve with an altered one, and the algorithm is used to search for a combination of different kinds of performance modifiers that generates the same measured effects of the actual anomaly. A global and a local approach are proposed and applied to a real test case plant, also in presence of measurement noise. The local approach demonstrates to be more effective in terms of accuracy and computational effort.

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Copyright © 2009 by American Society of Mechanical Engineers
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Figures

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Figure 2

Operating point alteration due to performance modifiers

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Figure 3

Scheme of the plant model

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Figure 4

Healthy (dashed) and altered (continuous) compressor characteristic curves in the malfunctioning test case (p1=1.013 bar, T1=261.15 K, and 0 deg IGV angle).

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Figure 5

Scheme of the simplified model without the control system

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Figure 6

Subsystem with compressor only

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Figure 7

Subsystem with combustor and HP turbine

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Figure 8

Distribution of performance modifiers with noisy data-subsystem with compressor only

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Figure 1

Operating points in actual and healthy states for components with and without anomalies

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