Aug 15, 2022 · In this paper, we compared and analyzed multiple anomaly detection methods for predictive maintenance in the SME domain.
The main focus of the current study is to provide an overview of different unsupervised anomaly detection algorithms which will enable researchers and ...
A Comparative Analysis of Anomaly Detection Methods for Predictive Maintenance in SME ... Authors: Muhammad Qasim; Maqbool Khan; Waqar Mehmood; Florian Sobieczky ...
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Oct 22, 2024 · ... a comparative analysis is employed to identify the most suitable and favorable detection method. In consideration of the communication ...
In this paper, we propose a real-time explainable anomaly detection framework for predictive maintenance in a manufacturing system.
Oct 22, 2024 · Our study is based on four research questions comprised of demographic data, key challenges, distinctive characteristics, and best practices of ...
Aug 29, 2022 · In general, PdM is a holistic approach com- prising equipment condition monitoring, fault detection, fault diagnosis, fault prognosis and ...
In this work, we propose a novel framework for predictive maintenance, which is trained online to recognize new issues reported by the operators.
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These algorithms can be easily and quickly integrated into a low-cost software application developed to meet the needs of a small and medium-sized enterprise ( ...
Aug 7, 2023 · These monitoring methods include the use of various monitoring or testing tools such as infrared thermography, vibration monitoring, oil ...