Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data
Methods and results are presented for applying supervised machine learning techniques to
the task of predicting the need for repairs of air compressors in commercial trucks and …
the task of predicting the need for repairs of air compressors in commercial trucks and …
Vehicle remote health monitoring and prognostic maintenance system
In many industries inclusive of automotive vehicle industry, predictive maintenance has
become more important. It is hard to diagnose failure in advance in the vehicle industry …
become more important. It is hard to diagnose failure in advance in the vehicle industry …
Data analytics in fleet operations: A systematic literature review and workflow proposal
PH Brunheroto, ALG Pepino, F Deschamps… - Procedia CIRP, 2022 - Elsevier
Fleet operations have been one of the main concerns of a wide range of industries,
particularly those industries in which transportation plays a pivotal role for operational …
particularly those industries in which transportation plays a pivotal role for operational …
Predicting air compressor failures using long short term memory networks
We introduce an LSTM-based method for predicting compressor failures using aggregated
sensory data, and evaluate it using historical information from over 1000 heavy duty vehicles …
sensory data, and evaluate it using historical information from over 1000 heavy duty vehicles …
Detecting APS failures using LSTM-AE and anomaly transformer enhanced with human expert analysis
This study develops a novel semi-supervised approach for detecting Air Pressure System
(APS) failures in Heavy-Duty Vehicles (HDVs) by exploiting two modern Machine Learning …
(APS) failures in Heavy-Duty Vehicles (HDVs) by exploiting two modern Machine Learning …
Mixed effects random forest model for maintenance cost estimation in heavy-duty vehicles using diesel and alternative fuels
S Katreddi, A Thiruvengadam, GJ Thompson… - IEEE …, 2023 - ieeexplore.ieee.org
Maintenance & Repair costs in heavy-duty trucks are an important component of the total
cost of ownership. Due to the very limited availability of real-time data collected from medium …
cost of ownership. Due to the very limited availability of real-time data collected from medium …
Development of Machine Learning based approach to predict fuel consumption and maintenance cost of Heavy-Duty Vehicles using diesel and alternative fuels
S Katreddi - 2023 - search.proquest.com
One of the major contributors of human-made greenhouse gases (GHG) namely carbon
dioxide (CO 2), methane (CH 4), and nitrous oxide (NO X) in the transportation sector and …
dioxide (CO 2), methane (CH 4), and nitrous oxide (NO X) in the transportation sector and …
Analysis of vehicle breakdown frequency: a case study of New South Wales, Australia
Traffic incidents such as crashes, vehicle breakdowns, and hazards impact traffic speeds
and induce congestion. Recognizing the factors that influence the frequency of these traffic …
and induce congestion. Recognizing the factors that influence the frequency of these traffic …
Predictive asset availability optimization for underground trucks and loaders in the mining industry
SD Patil, A Mitra, K Tuggali Katarikonda, JD Wansink - Opsearch, 2021 - Springer
With an increased focus on operational optimization, cost rationalization and increased
advances in sensors, data storage and machine learning, mining Original Equipment …
advances in sensors, data storage and machine learning, mining Original Equipment …
Predictive maintenance
A Viswanath, A Dabholkar, B Ford, M Hettinger… - US Patent …, 2018 - Google Patents
US10096004B2 - Predictive maintenance - Google Patents US10096004B2 - Predictive
maintenance - Google Patents Predictive maintenance Download PDF Info Publication …
maintenance - Google Patents Predictive maintenance Download PDF Info Publication …