Ignacio Bayardo Benavides-Cevallos

ORCID: 0000-0003-3332-8523
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About
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Research Areas
  • Advanced machining processes and optimization
  • Metal Alloys Wear and Properties
  • Engineering Technology and Methodologies
  • Fault Detection and Control Systems
  • Machine Fault Diagnosis Techniques

Universidad Técnica del Norte
2023

The objective of this work is to use the autonomous learning methodology as a tool in vehicle maintenance management. In obtaining data, faults fuel supply system have been simulated, causing anomalies combustion process that are easily detectable by vibrations obtained from sensor engine an agricultural tractor. To train classification algorithm, 4 states were used: BE (optimal state), MEF1, MEF2, MEF3 (simulated failures). applied supervised type, where samples initially characterized and...

10.15446/dyna.v90n225.103612 article EN cc-by-nc-nd DYNA 2023-03-03
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