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Lin Jie

Publications -  7
Citations -  9

Lin Jie is an academic researcher. The author has contributed to research in topics: Lightning arrester & Data processing. The author has an hindex of 2, co-authored 7 publications receiving 9 citations.

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Patent

Machine vision-based method for judging the closing operation of disconnector

TL;DR: Wang et al. as mentioned in this paper proposed a method for detecting the closing operation of an isolating switch based on machine vision, which combines depth learning with classic machine vision method to estimate the position and angle of the knife and switch.
Patent

Evaluation method of lightning arrester running state based on big data

TL;DR: Wang et al. as discussed by the authors proposed an evaluation method of a lightning arrester running state based on big data. But the evaluation method is limited to big data only, and the evaluation of the running state is not applicable to small data.
Patent

Gravity settlement inclination vibration monitor and application thereof

TL;DR: In this article, a gravity settlement inclination vibration monitor consisting of a crossbeam, a control case, a biaxial inclination angle sensor and a stay rope displacement sensor are fixed in the control case and a fixed pulley is fixedly connected with an upper end of the swing arm.
Patent

Current transformer unbalance degree alarm method based on multi-source data fusion

TL;DR: In this article, a current transformer unbalance degree alarm method based on multi-source data fusion is proposed, where the data acquisition layer acquires online monitoring data, operation data, basic standing book data and environment data of the current transformer through RocketMQ; the data processing layer adopts a memory computing framework to format the obtained structured data, unstructured data and historical monitoring data to obtain formatted data, corrects various types of data according to the data influence factors to remove invalid data, preprocesses the massive historical data, calculates standard variances, and finally, calculates
Patent

Noise detection method based on self-defined features of a single image

TL;DR: In this paper, the authors proposed a self-defined feature extraction method for image noise detection based on transformer substation images, and the method comprises the steps: collecting a transform substation image, and calculating an image x-direction gradient graph and an image y-direction gradients graph; traversing the to-be-detected image and calculating a gradient direction angle of each pixel point according to the gradient map; giving a direction distribution number, calculating the direction distribution value of pixel point in each direction according to gradient value and the direction angle; calculating anintegral graph