Naslov
Grouping sensors into preset clusters with a mixed 𝑳𝟐/𝑳𝟎 norm

Autori
Rožić, Jurica ; Jokić, Marko

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, prošireni sažetak, znanstveni

Izvornik
10th International Congress of Croatian Society of Mechanics, Book of Abstracts / Skozrit, Ivica ; Sorić, Jurica ; Tonković, Zdenko - , 2022, 233-234

Skup
10th International Congress of Croatian Society of Mechanics,

Mjesto i datum
Pula, Hrvatska, 28.09.2022. - 30.09.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Podatak o recenziji nije dostupan

Ključne riječi
Sensor placement optimization, Convex optimization, Mixed L0/L2 norm, L0 norm relaxation, Observer error

Sažetak
Sensor Placement Optimization (SPO) has been a topic of interest for over four decades now, as it is crucial in many technical fields. While computational power continually evolves, demands evolve as well because SHM is being applied to more complex structures. There is a lot of room for improvement of SPO within SHM alone, including specialized cost functions, as encompassing all the relevant data of a real-world problem is often way out of reach, financially and numerically. We present an algorithm with the ability to force grouping of possible sensor positions from individual physical locations into sensor clusters, and then optimize the number and position of clusters using a series of convex optimizations through an iterative process. This is mostly applicable to SHM systems but can be adapted for use elsewhere. Examples of when might such clustering be beneficial include: to avoid separating axes for multi-axis values like vibration, or limit the number of physical locations with sensor mounts and cabling

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Strojarstvo, Temeljne tehničke znanosti

POVEZANOST RADA