The research of marine engine condition monitoring and fault diagnosis technology has developed for many years. For this reason, the engine fault diagnosis technology has been paid more and more attention by engine manufacturers, and has been taken as an important means to improve the engine operation reliability and reduce the use cost. This paper first introduces the traditional edge detection algorithm, which mainly uses different local operators to detect the acquired data images, and mainly compares and analyzes the detection results of Sobel operator and Canny operator of the first order local derivative. The architecture of the ship structure health monitoring system is designed, and the functional module of the edge computing node is divided into three layers and four functional modules, which respectively realize the collection, processing, storage and release of monitoring data. The module design adopts the software mode of weak coupling and strong cohesion, and establishes the standardization of data transmission format.

Rasa Jaber. Condition Monitoring and Fault Diagnosis of Engineering Ship Power Machinery Based on Edge Detection Algorithm. Kinetic Mechanical Engineering (2020), Vol. 1, Issue 2: 36-44. https://doi.org/10.38007/KME.2020.010205.

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