Informatics and Engineering Systems Faculty Publications and Presentations
Document Type
Article
Publication Date
2-7-2025
Abstract
Most well-known challenging effects of identifying multiple defects in a rotational machine when speed is varied, are illustriously inspected by many researchers. However, different fusion logics are evolved in the series of research attempt, but not paid much attention in interrogating it for unsteady speed signals.Addressing this literature void, this paper focusses on multi-level fusion strategy with the help of sensor-centric feature integration and Dempster Shafer’s (D-S) theory of evidence for uncovering multi-faults in bearings, shafts and gears of rotational machines under speed variational condition. Primarily, instantaneous frequency and envelope from the acquired vibration and sound signals of complex system parts are evaluated and fed to Machine learning (ML) such as Support vector machine (SVM) and K-nearest neighbors (KNN) which verifies the classification performance. The propriety of D-S combination rule is credited by comparing it with the results of other renowned decision-based fusion such as Structural causal model (SCM) and weighted voting method (WVM). This enlightens the effect of imposing DS theory for combining the ML results of integrated vibration and sound signals which is symbolized as multi-level aggregation with 85.76 % accuracy. To illuminate more of this proposed method, a profound investigation over misclassified shaft classes for vibration signals using SVM-RBF are discovered and verified for single-level and multilevel fusion. This yields promising results for multistage fusion approach in rotational machinery fault diagnosis at varying speed rate.
Recommended Citation
Saimurugan, M., S. Sowmya, and Immanuel Edinbarough. "Significance of multi-level fusion in multi-component fault diagnosis under speed varying condition in rotational machinery." FME Transactions 53, no. 1 (2025): 15-30. https://doi.org/10.5937/fme2501015S
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
First Page
15
Last Page
30
DOI
10.5937/fme2501015S
Comments
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