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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
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Learning from negative experience to evade knowledge loss

P. 924–932.
Khazieva N., Caganova D.

This article aims to continue research on the issue of knowledge loss. The authors of the paper have found out earlier that in theory knowledge management helps to establish an environment of creation, development, transfer and share of intellectual capital. From their own experience, the authors of the paper have revealed different side: some companies and enterprises do not use the latest theoretical and practical achievements in the field of knowledge management. On the contrary, the excellent knowledge management initiatives fail from time to time. The explanations of these failures may be different and involve personal and organizational levels and infrastructure. A remarkable point is that most of the companies do not admit their mistakes and learn from negative experience. As a result, companies intentionally or unintentionally lose the valuable knowledge. Based on the Analytic Hierarchy Process (AHP), this paper builds a hierarchical structure model of factors influencing the KM learning from failure. The study identifies: (1) the elements (the difficulties, barriers, risks, factors) affecting KM initiative connected with it stages; (2) five most discussed aspects that can be overwhelmed by proposed alternatives; (3) connection between alternatives and learning from failure.

Language: English
DOI
Keywords: Analytic hierarchy process (AHP)knowledge management failureKnowledge management initiatives

In book

Proceedings of the 21st European Conference on Knowledge Management A Virtual Conference hosted by Coventry University, UK, 2-4 December 2020
Reading: Academic Conferences International Limited, 2020.
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