Scholarlink

This chapter focuses on an application scenario that occurs later in the product life cycle, where cases of faults and failures are available to build a case-based reasoning (CBR) system. In this context, it presents the integration of expert knowledge into a Siamese neural network to serve as a similarity measure in the retrieval phase of the CBR system for implementing similarity-based predictive maintenance.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Infusing Expert Knowledge into a Siamese Neural Network for Encoding Time Series

  • 章节

  • 发表日期：

    2025年

查看全文
  • Patrick Klein

摘要

This chapter focuses on an application scenario that occurs later in the product life cycle, where cases of faults and failures are available to build a case-based reasoning (CBR) system. In this context, it presents the integration of expert knowledge into a Siamese neural network to serve as a similarity measure in the retrieval phase of the CBR system for implementing similarity-based predictive maintenance.