Kernel extreme learning machine with iterative picking scheme for failure diagnosis of a turbofan engine
Sign Up to like & getrecommendations! Published in 2020 at "Aerospace Science and Technology"
DOI: 10.1016/j.ast.2019.105539
Abstract: Abstract The kernel extreme learning machine (KELM) has attracted attention for failure diagnosis of turbofan engines, but its application for time-sensitive scenarios is inherently limited by its lack of sparseness. The original KELM constructs the… read more here.
Keywords: diagnosis turbofan; extreme learning; failure diagnosis; kernel extreme ... See more keywords
Experimental study of the process failure diagnosis in additive manufacturing based on acoustic emission
Sign Up to like & getrecommendations! Published in 2019 at "Measurement"
DOI: 10.1016/j.measurement.2018.12.067
Abstract: Abstract Currently additive manufacturing (AM) faces many challenges related to product quality, robustness, and reliability, which will hinder its industry-scale applications. Studies of the typical AM process failures and the corresponding effective sensor-based monitoring methods… read more here.
Keywords: failure diagnosis; process failure; process; failure ... See more keywords
A Genetic Algorithm and PCA-Based Feature Selection to Improve the Failure Diagnosis Performance of Railway Vehicle Doors
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3216885
Abstract: The failure diagnosis of railway vehicle door system is carried out using a test bench and machine learning software for the fast and accurate classification. The signal length deviation exists in actual collected data of… read more here.
Keywords: time; performance; genetic algorithm; based feature ... See more keywords
Failure Diagnosis for Distributed Systems Using Targeted Fault Injection
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2016.2575829
Abstract: This paper introduces a novel approach to automating failure diagnostics in distributed systems by combining fault injection and data analytics. We use fault injection to populate the database of failures for a target distributed system.… read more here.
Keywords: fault; distributed systems; fault injection; failure diagnosis ... See more keywords
Primary vs. Secondary Heart Failure Diagnosis: Differences in Clinical Outcomes, Healthcare Resource Utilization and Cost
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Cardiovascular Medicine"
DOI: 10.3389/fcvm.2022.818525
Abstract: Background There is scarce information on patients with secondary heart failure diagnosis (sHF). We aimed to compare the characteristics, burden, and outcomes of sHF with those with primary HF diagnosis (pHF). Methods Retrospective, observational study… read more here.
Keywords: year; heart failure; diagnosis; cost ... See more keywords