Machine performance degradation modeling aims to construct a reliable health indicator (HI) for machine health evaluation.
NASA/ADS · Weight-Based Large Margin Hyperdisks for Explainable Performance Degradation Modeling.
Oct 1, 2023 · In this study, a sparsity preserving projection aided baselined hyperdisk model for interpretable initial fault detection, diagnosis, and degradation ...
This paper introduces a binary large margin classifier that approximates each class with an hyper disk constructed from its training samples.
We show that the hyperdisk method can be kernelized to provide nonlinear classifiers based on non-Euclidean distance metrics. Experiments on several ...
We introduce a large margin linear binary classification framework that approximates each class with a hyperdisk – the intersection of the affine support ...
Missing: Explainable | Show results with:Explainable
Learn about Hyperdisk, their capacity and performance limits, regional availability, and machine type support.
A new head-mounted camera system that enables detailed behavioral monitoring along with neural recording in freely moving mice.
Abstract. In this study, we use transductive learning and binary hierar- chical trees to create compact binary hashing codes for large-scale image.
An IGI-based envelope analysis method named IGIgram is developed for fault diagnosis of rolling bearings.