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Naoto Kawase
Researcher at Mitsubishi Heavy Industries
Publications - 26
Citations - 78
Naoto Kawase is an academic researcher from Mitsubishi Heavy Industries. The author has contributed to research in topics: Signal & Welding. The author has an hindex of 6, co-authored 26 publications receiving 78 citations.
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Patent
Optimal maintenance plan decision method
TL;DR: In this paper, an optimal maintenance plan decision method capable of making a maintenance plan in the whole depreciation period of a plant or a product by quantitatively considering the point of view of costs is proposed.
Patent
Apparatus for visualizing ultrasonic signal
TL;DR: In this paper, an image showing a beam route of ultrasonic waves and an image expressing a size of an ultrasonic signal in the periphery of the beam route by gradations are generated based on the echoes from the probe, which are displayed overlapping on an image of a three-dimensional geometric model of the inspection object.
Patent
Risk management device
Ochi Mayumi,Hori Shinichiro,Kumano Shintaro,Naoto Kawase,Kanezaki Hiroshi,Hasunuma Toshikatsu,Yokoyama Eri +6 more
TL;DR: In this article, the authors proposed a failure probability function for each equipment constituting a plant facility, which represents the relationship between the use years and the failure probability based on design data on the plant equipments at the design stage.
Patent
Method of evaluating service life of material
TL;DR: In this paper, the texture image of a material is binarized by a specified threshold to form a binarised image divided in two phases, and at least one amount of feature characterizing the material is obtained on the basis of the binarization.
Patent
Eddy current test signal discriminating method and device using it
TL;DR: In this paper, a method for discriminating the damaged part in the tested body from the eddy current test signal obtained in the EDD current test comprises a first step for extracting an aimed point with the EdD current signal above a predetermined value, a second step for finding a variant vector of the edd current signal within a signal range including the aimed point, a third step for adding the dimension of the variant vector in each direction of an n-dimensional direction vector, a forth step for converting the n dimensional characteristic vector into a smaller m-dimensional characteristic vector, and a