Details

Title

Predictive Maintenance Sensors Placement by Combinatorial Optimization

Journal title

International Journal of Electronics and Telecommunications

Yearbook

2012

Volume

vol. 58

Numer

No 2

Publication authors

Divisions of PAS

Nauki Techniczne

Publisher

Polish Academy of Sciences Committee of Electronics and Telecommunications

Date

2012

Identifier

ISSN 2081-8491 (until 2012) ; eISSN 2300-1933 (since 2013)

References

Hashemian H. (2006), Aging management through on-line condition monitoring, null. ; Hameed Z. (2009), Condition monitoring and fault detection of wind turbines and related algorithms - a review, Renewable and Sustainable Energy Review, 13, 1, doi.org/10.1016/j.rser.2007.05.008 ; Flynn E. (2010), A bayesian approach to optimal sensor placement for structural health monitoring with application to active sensing, Renewable and Sustainable Energy Review, 24, 891. ; Doebling S. (1996), Damage identification and health monitoring of structural and mechanical systems from changes in their vibrational characteristics: a literature review, Alamos National Laboratory, LA-13070-MS. ; Guratzsch R. (2006), Sensor placement design for shm under uncertainty, null. ; Worden K. (2001), Burrows, optimal sensor placement for fault detection, Engineering Structures, 23, 885, doi.org/10.1016/S0141-0296(00)00118-8 ; Liu W. (2008), Optimal sensor placement for spatial lattice structure based on genetic algorithms, journal of sound and vibration, Engineering Structures, 317, 175. ; Yi T.-H. (2011), Optimal sensor placement for structural health monitoring based on multiple optimization strategies, The Structural Design of Tall and Special Buildings, 20, 881, doi.org/10.1002/tal.712 ; Yi T.-H. (2011), Optimal sensor placement for health monitoring of high-rise structure based on genetic algorithm detection, Mathematical Problems in Engineering, 2011, 12, doi.org/10.1155/2011/395 101 ; Staszewski W. (2001), An overview of optimal sensor location methods for damage detection, null, 179. ; Staszewski W. (2002), Intelligent signal processing for damage detection in composite materials, Composites Science and Technology, 62, 941, doi.org/10.1016/S0266-3538(02)00008-8 ; Jardine A. (2006), A review on machinery diagnostics and prognostics implementing condition-based maintenance, Mechanical Systems and Signal Processing, 20, 1483, doi.org/10.1016/j.ymssp.2005.09.012 ; Li Z. (2004), Optimal sensor locations for structural vibration measurements, Mechanical Systems and Signal Processing, 65, 807. ; Lindo systems inc. [Online]. Available: <a target="_blank" href='http://www.lindo.com/'>http://www.lindo.com/</a> ; I. Connection Technology Center. Industrial vibration analysis for predictive maintenance and improved machine reliability. Internet draft. [Online]. Available: <a target="_blank" href='http://www.ctconline.com/pdf/pubTechPapers/21-Industrial'>http://www.ctconline.com/pdf/pubTechPapers/21-Industrial</a>

DOI

10.2478/v10177-012-0022-6

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