Predictive Maintenance Sensors Placement by Combinatorial Optimization

Journal title

International Journal of Electronics and Telecommunications




vol. 58


No 2

Publication authors

Divisions of PAS

Nauki Techniczne


International Journal of Electronics and Telecommunications (IJET, eISSN 2300-1933, untill 2013 also print ISSN 2081-8491) is a periodical of Electronics and Telecommunications Committee of Polish Academy of Sciences and it is published by Warsaw Science Publishers of PAS. It continues tradition of the Electronics and Telecommunications Quarterly (ISSN 0867-6747) established in 1955 as the Rozprawy Elektrotechniczne. The IJET is a scientific periodical where papers present the results of original, theoretical, experimental and reviewed works. They consider widely recognized aspects of modern electronics, telecommunications, microelectronics, optoelectronics, radioelectronics and medical electronics.

The authors are outstanding scientists, well‐known experienced specialists as well as young researchers – mainly candidates for a doctor's degree. The papers present original approaches to problems, interesting research results, critical estimation of theories and methods, discuss current state or progress in a given branch of technology and describe development prospects. All the papers published in IJET are reviewed by international specialists who ensure that the publications are recognized as author's scientific output.

The printed periodical is distributed among all those who deal with electronics and telecommunications in national scientific centers as well as in numeral foreign institutions, and it is subscribed by many specialists and libraries. Its electronic version is available at

The papers received are published within half a year if the cooperation between author and the editorial staff is efficient. The papers may be submitted to the editorial office by the journal web page


Polish Academy of Sciences Committee of Electronics and Telecommunications




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


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, ; 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, ; 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, ; 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, 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, ; Jardine A. (2006), A review on machinery diagnostics and prognostics implementing condition-based maintenance, Mechanical Systems and Signal Processing, 20, 1483, ; 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=''></a> ; I. Connection Technology Center. Industrial vibration analysis for predictive maintenance and improved machine reliability. Internet draft. [Online]. Available: <a target="_blank" href=''></a>