Low Frequency Identification of Critical States of Transmission Tower Structures

Szopa, Krystian; Iwaniec, Marek; Gołaś, Andrzej

doi:10.7494/mech.2013.32.3.102

Cited by 1 publication

(1 citation statement)

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“…ambient temperature). These conclusions arise from both the literature review [10] and many studies conducted by the authors of this paper [13,14,23,24]. The state of art analysis indicates that the best solution for the diagnostics of supporting structures of overhead power lines can be the methods based on the analysis of the system mode shapes, assuming a limited number of measurement points.…”

Section: Introductionmentioning

confidence: 87%

Identification of technical condition of the overhead power line supporting structure

Szopa¹,

Iwaniec²,

Iwaniec³

2019

Eksploatacja i Niezawodność – Maintenance and Reliability

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Article citation info: (*) Tekst artykułu w polskiej wersji językowej dostępny w elektronicznym wydaniu kwartalnika na stronie www.ein.org.pl Krystian szoPAMarek IwAnIEc Joanna IwAnIEc identificAtion of technicAl condition of the overheAd power line supporting structure identyfikAcjA stAnu technicznego konstrukcji wsporczej nApowietrznej linii elektroenergetycznej*Technical diagnostics of the overhead power line supporting structures is very important from the point of view of reliability and the national energy security. The paper presents a method of identification of technical condition of power line supporting structures. The technique is based on testing the correlation between the change of stress in the system and the change of modal parameters caused by damage. Presented approach is comprehensive and accounts for a number of problems related to the diagnostics of large-size objects of complex geometry. The basic advantage of the developed identification algorithm of the overhead power line supporting structures technical condition is low sensitivity to measurement errors, which is very important in the context of exploitational diagnostics.

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Section: Introductionmentioning

confidence: 87%