EngineFaultDB: A Novel Dataset for Automotive Engine Fault Classification and Baseline Results

Mary Vergara; Leo Ramos; Nestor Diego Rivera-Campoverde; Francklin Rivas-Echeverria

doi:10.1109/ACCESS.2023.3331316

EngineFaultDB: A Novel Dataset for Automotive Engine Fault Classification and Baseline Results

Mary Vergara^*
, Leo Ramos^*
, Nestor Diego Rivera-Campoverde
, Francklin Rivas-Echeverria

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

Original language	English
Pages (from-to)	126155-126171
Number of pages	17
Journal	IEEE Access
Volume	11
DOIs	https://doi.org/10.1109/ACCESS.2023.3331316
State	Published - 8 Nov 2023

Bibliographical note

Publisher Copyright:
© 2013 IEEE.

Keywords

automotive engine
deep learning
Engine fault
fault classification
machine learning
spark ignition engine

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10.1109/ACCESS.2023.3331316

Cite this

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title = "EngineFaultDB: A Novel Dataset for Automotive Engine Fault Classification and Baseline Results",

keywords = "automotive engine, deep learning, Engine fault, fault classification, machine learning, spark ignition engine",

author = "Mary Vergara and Leo Ramos and Rivera-Campoverde, \{Nestor Diego\} and Francklin Rivas-Echeverria",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2023",

month = nov,

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doi = "10.1109/ACCESS.2023.3331316",

language = "English",

volume = "11",

pages = "126155--126171",

journal = "IEEE Access",

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T2 - A Novel Dataset for Automotive Engine Fault Classification and Baseline Results

AU - Vergara, Mary

AU - Ramos, Leo

AU - Rivera-Campoverde, Nestor Diego

AU - Rivas-Echeverria, Francklin

PY - 2023/11/8

Y1 - 2023/11/8

KW - automotive engine

KW - deep learning

KW - Engine fault

KW - fault classification

KW - machine learning

KW - spark ignition engine

UR - https://www.scopus.com/pages/publications/85177075294

U2 - 10.1109/ACCESS.2023.3331316

DO - 10.1109/ACCESS.2023.3331316

M3 - Article

SN - 2169-3536

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SP - 126155

EP - 126171

JO - IEEE Access

JF - IEEE Access

ER -

EngineFaultDB: A Novel Dataset for Automotive Engine Fault Classification and Baseline Results

Bibliographical note

Keywords

Access to Document

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Cite this