curr2vib: Modality Embedding Translation for Broken-Rotor Bar Detection

curr2vib : Modality Embedding Translation for Broken-Rotor Bar Detection

Amirhossein, Berenji (author): Högskolan i Halmstad,Centrum för forskning om tillämpade intelligenta system (CAISR)

Taghiyarrenani, Zahra, 1987- (author): Högskolan i Halmstad,Centrum för forskning om tillämpade intelligenta system (CAISR)

Nowaczyk, Sławomir, 1978- (author): Högskolan i Halmstad,Centrum för forskning om tillämpade intelligenta system (CAISR)

(creator_code:org_t)

2023-01-31
2023
English.
In: Machine Learning and Principles and Practice of Knowledge Discovery in Databases. - Cham : Springer Nature. - 9783031236334 ; , s. 423-437

Related links:: https://link.springe...; show more...; https://hh.diva-port... (primary) (Raw object); https://urn.kb.se/re...; https://doi.org/10.1...; show less...

Abstract Subject headings

Recently and due to the advances in sensor technology and Internet-of-Things, the operation of machinery can be monitored, using a higher number of sources and modalities. In this study, we demonstrate that Multi-Modal Translation is capable of transferring knowledge from a modality with higher level of applicability (more usefulness to solve an specific task) but lower level of accessibility (how easy and affordable it is to collect information from this modality) to another one with higher level of accessibility but lower level of applicability. Unlike the fusion of multiple modalities which requires all of the modalities to be available during the deployment stage, our proposed method depends only on the more accessible one; which results in the reduction of the costs regarding instrumentation equipment. The presented case study demonstrates that by the employment of the proposed method we are capable of replacing five acceleration sensors with three current sensors, while the classification accuracy is also increased by more than 1%.

By the author/editor: Amirhossein, Ber ...; Taghiyarrenani, ...; Nowaczyk, Sławom ...

About the subject

ENGINEERING AND TECHNOLOGY: ENGINEERING AND ...; and Electrical Engin ...; and Signal Processin ...

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