Automatic Generation of Descriptive Features for Predicting Vehicle Faults
Predictive Maintenance (PM) has been increasingly adopted in the Automotive industry, in the recent decades along with conventional approaches such as the Preventive Maintenance and Diagnostic/Corrective Maintenance, since it provides many advantages to estimate the failure before the actual occurre...
Main Authors: | Revanur, Vandan, Ayibiowu, Ayodeji |
---|---|
Format: | Others |
Language: | English |
Published: |
Högskolan i Halmstad, CAISR Centrum för tillämpade intelligenta system (IS-lab)
2020
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-42885 |
Similar Items
-
Combining an Autoencoder and a Variational Autoencoder for Explaining the Machine Learning Model Predictions
by: Lev Utkin, et al.
Published: (2021-01-01) -
Descriptor-free unsupervised learning method for local structure identification in particle packings
by: Deng, W., et al.
Published: (2022) -
Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data
by: Oscar Serradilla, et al.
Published: (2021-08-01) -
AEkNN: An AutoEncoder kNN-Based Classifier With Built-in Dimensionality Reduction
by: Francisco J. Pulgar, et al.
Published: (2018-11-01) -
Generalization-Based Acquisition of Training Data for Motor Primitive Learning by Neural Networks
by: Zvezdan Lončarević, et al.
Published: (2021-01-01)