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Second order model, characterized by variation of P factor 

Second order model, characterized by variation of P factor 

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... These improved inspection methods have been incorporated with background noise removal techniques and fully automatic inspection systems without requiring manual intervention on the ground station or control centre. Silva et al. [41] presented an adaptive digital image processing algorithm to improve the identification and classification process of wood crossarms using automated image inspection. The proposed adaptive algorithm was based on the adaptive digitized straight-line segments that sum up the capability of dynamic change of image segmentation processes such as binarization and contour extraction. ...
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Crossarms are widely used in power distribution and telecommunication sectors to support overhead cables. These structures are horizontally attached to the top of vertically erected utility poles and are essential elements in connecting overhead cables to the poles. Timber is the dominantly used material type for crossarms in the existing distribution networks. Nevertheless, there are alternative crossarms made from steel, composites, polymers, and even from concrete. This paper reviews the studies on the condition assessment of timber crossarms considering the aspects of decay identification and flexural strength assessment. The limitations and shortcomings of the conventional inspection techniques for crossarms are presented. Then, the studies on the developments of non-destructive test methods to address these issues are reviewed. Further, the results from the experimental work conducted to assess the structural capacity of in-service crossarms are presented and analysed. In addition, the possible future advancements of alternative crossarm types are also discussed, considering the mechanical strength, durability performance, and sustainability aspects. This paper aims to highlight the advantages and disadvantages of different condition assessment techniques for crossarms, indicating the importance of an integrated approach combining both the conventional and non-destructive testing techniques.