Feb 29, 2020 · Machine learning-based wear fault diagnostic model can help engineers to determine fault modes correctly and take quick action to avoid severe accidents.
Feb 29, 2020 · Machine learning-based wear fault diagnostic model can help engineers to determine fault modes correctly and take quick action to avoid severe accidents.
The proposed machine learning-based diagnostic system is validated by a set of real samples acquired from marine diesel engines in operation. The test results ...
Shyamal Krishna Agrawal [8] proposed a data-driven model for classifying the types and severity of faults occurring in diesel engines in real-world scenarios.
Nov 9, 2023 · The results showed that the system can accurately diagnose the wear faults of diesel engines including adhesive wear, abrasive wear and so on.
Aug 3, 2023 · This paper presents condition monitoring techniques for early detection of faults related to piston rings in remote cylinders of two-stroke marine diesel ...
Missing: fusing | Show results with:fusing
The BADWAN model excels in cross-condition fault diagnosis tasks for marine engines with incomplete target working condition labels, offering a novel solution ...
Apr 16, 2024 · This paper explores the importance of fault diagnosis, emphasizing subsystems, common faults, and recent advancements in data-driven approaches.
Aug 16, 2024 · Fault diagnosis technologies for ocean-going marine diesel engines play an important role in the safety and reliability of ship navigation.
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Machine learning-based wear fault diagnosis for marine diesel engine by fusing multiple data-driven models[J]. Knowledge-based Systems, 2020, 190(105324).