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      Optimal Sensor Placement and Minimum Number Selection of Sensors for Health Monitoring of Transmission Towers

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      Shock and Vibration
      Hindawi Limited

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          Abstract

          Transmission towers are structurally complex, which makes it challenging to choose the right place and number of sensors for health monitoring. In this paper, optimal sensor placement of a cat-head-type transmission tower is conducted by using the Effective Independent Method (EIM) and a method is proposed for calculating the minimum number of sensors for structural health monitoring by combining EIM and Modal Assurance Criterion (MAC). The method for calculating the number of sensors prescribed in this paper derives a curve that shows the relationship between MAC value and the number of sensors. It is found that the MAC value decreases with increase in the number of sensors. When the number of sensors reaches a certain threshold, the curve tends to stabilize. Then, the number of sensors corresponding to the minimum MAC is proposed as the minimum number of sensors. Through calculation, the minimum number of sensors of the cat-head-type transmission tower is obtained. Also, the optimal sensor placement results show that the position of a large number of sensors includes the position of a smaller number of sensors.

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          Most cited references27

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          On the optimal sensor placement techniques for a bridge structure

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            Is Open Access

            Modal Assurance Criterion

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              The connection between effective independence and modal kinetic energy methods for sensor placement

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                Author and article information

                Contributors
                Journal
                Shock and Vibration
                Shock and Vibration
                Hindawi Limited
                1875-9203
                1070-9622
                December 28 2020
                December 28 2020
                : 2020
                : 1-12
                Affiliations
                [1 ]Key Laboratory of Condition Monitoring and Control for Power Plant Equipment of the Ministry of Education, North China Electric Power University, Beijing 102206, China
                Article
                10.1155/2020/2375947
                d0e0f1f0-a9b3-4a23-9608-c450857b39d9
                © 2020

                https://creativecommons.org/licenses/by/4.0/

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