Industrial-Grade Smart Troubleshooting through Causal Technical Language Processing: a Proof of Concept
通过因果技术语言处理实现工业智能故障排查:概念验证
This paper describes the development of a causal diagnosis approach for troubleshooting an industrial environment on the basis of the technical language expressed in Return on Experience records. The proposed method leverages the vectorized linguistic knowledge contained in the distributed representation of a Large Language Model, and the causal associations entailed by the embedded failure modes and mechanisms of the industrial assets. The paper presents the elementary but…