Condition Monitoring Using Computational Intelligence by Tshilidzi Marwala

By Tshilidzi Marwala

Condition tracking utilizing Computational Intelligence tools promotes many of the ways accrued lower than the umbrella of computational intelligence to teach how situation tracking can be utilized to prevent apparatus mess ups and extend its worthwhile lifestyles, reduce downtime and decrease upkeep expenditures. The textual content introduces quite a few signal-processing and pre-processing strategies, wavelets and significant part research, for instance, including their makes use of in tracking and information the advance of powerful function extraction strategies labeled into frequency-, time-frequency- and time-domain research. facts generated by way of those options can then be used for situation category utilising instruments such as:

fuzzy structures; tough and neuro-rough units; neural and Bayesian networks;hidden Markov and Gaussian mix versions; and help vector machines.

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Additional info for Condition Monitoring Using Computational Intelligence Methods: Applications in Mechanical and Electrical Systems

Sample text

It was found that the sensitivities of the receptance pseudo-modal energies and the inheritance pseudo-modal energies depend upon the sensitivities of the modal properties. By analyzing the pseudo-modal energies it was observed that if the frequency bandwidth was too narrow, then the energies are dominated by the behavior of the peaks of the FRFs. This is undesirable because near the peaks, factors such as damping ratios, which show high degrees of uncertainty, dominate the dynamics of the pseudo-modal energies.

In: Proceedings of the IEEE international conference on man, systems, and cybernetics, Singapore, pp 1954–1959 Murthy VS, Mohanta DK, Gupta S (2011) Video surveillance-based insulator condition monitoring analysis for substation monitoring system (SMS). Int J Inf Commun Technol 3:11–31 Nandi S, Ilamparithi T, Lee SB, Hyun D (2009) Pole pair and rotor slot number independent frequency domain based detection of eccentricity faults in induction machines using a semi online technique. In: Proceedings of the IEEE international symposium on diagnostics for electric machines, power electronics and drives, Cargese, France, pp 1–7 Nelwamondo FV, Marwala T (2007) Techniques for handling missing data: applications to online condition monitoring.

Int J Numer Methods Eng 28:2451–2463 O’Callahan JC, Avitabile P, Riemer R (1989) System equivalent reduction expansion process. In: Proceedings of the 7th international modal analysis conference, Las Vegas, Nevada, pp 17–21 Pandurangaiah D, Reddy CC, Govindan TP, Mandlik M, Ramu TS (2008) Estimation of remaining life of power transformers. In: Proceedings of the IEEE international symposium on electrical insulation, Vancouver, Canada, pp 243–246 Park S, Kim JW, Lee C, Park SK (2011) Impedance-based wireless debonding condition monitoring of CFRP laminated concrete structures.

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