Research on feature space migration fault diagnosis for missing data signals

Ying Zhang; Huan Ni

doi:10.1117/12.3052592

30 December 2024 Research on feature space migration fault diagnosis for missing data signals

Ying Zhang, Huan Ni

Author Affiliations +

Proceedings Volume 13394, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024); 133940C (2024) https://doi.org/10.1117/12.3052592
Event: International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024), 2024, Hohhot, China

Abstract

Occasionally occurring events in the actual transmission process can lead to the deletion of signal-generated data, which in turn alters the signal's structure. The aim of this is to modify the structure of the missing signals and to reduce the volume of data. This paper introduces a method for diagnosing and integrating multi-dimensional features within a wide-tree model through migration. Initially, entities are extracted from various dimensions based on the sample structure, and the entity subspace for the target domain is established by eliminating redundant entities. Subsequently, within the Bagged-Tree ensemble classification model, the multi-dimensional feature space is crafted by leveraging the incremental dimensionality reduction from the sampling diagnosis of the sub-classifiers. Decisions at the sub-classification level are integrated using the ensemble classification layer, and ultimately, the target domain diagnosis is accomplished through the fine-tuning of the monitoring sample parameters.

Citation Download Citation

Ying Zhang and Huan Ni "Research on feature space migration fault diagnosis for missing data signals", Proc. SPIE 13394, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2024), 133940C (30 December 2024); https://doi.org/10.1117/12.3052592

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE