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| Ziakopoulos, Apostolos | Athens |
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| Utriainen, Roni | Tampere |
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| Lučanin, Vojkan | Belgrade |
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| Tanaskovic, Jovan |
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Nowaczyk, Slawomir
Halmstad University
in Cooperation with on an Cooperation-Score of 37%
Topics
- data
- computer science
- railway train
- forecasting
- maintenance
- monitoring
- diagnosis
- automobile industry
- machinery
- learning
- machine learning
- submarine
- data file
- technician
- complex system
- taxonomy
- industry
- assessment
- modeling
- theory
- telematics
- costs
- vehicle fleet
- trajectory
- health
- sensor
- truck
- repairing
- turbocharger
- connectivity
- Markov process
- history
- Probability theory
- case study
- noise
- neural network
- architecture
- aggregate
- heavy duty truck
- downtime
- indicating instrument
- forest
- coding system
- mining
- time window
- signal processing
- driver
- app
- heavy duty vehicle
- supporting
- human being
- foundation
- big data
- data analysis
- algorithm
- mechanical engineering
- workshop
- bus
- profit
- data mining
- forecasting model
- air compressor
- city
- control device
- road
- commercial vehicle
- compressor
- information system
- deviation
- coast
- field study
- histogram
- air pressure
- self organising system
- data collection
- customer
- telecommunication
- train consist
- composite material
- inductive interference
- timetable
- printed publicity
- employed
- experiment
- engineering
- sensitivity
- show 56 more
Publications (14/14 displayed)
- 2021Hierarchical Multi-class Classification for Fault Diagnosis
- 2020Early Prediction of Quality Issues in Automotive Modern Industrycitations
- 2020Modeling turbocharger failures using Markov process for predictive maintenance
- 2020Stacked Ensemble of Recurrent Neural Networks for Predicting Turbocharger Remaining Useful Lifecitations
- 2019Interactive feature extraction for diagnostic trouble codes in predictive maintenance : A case study from automotive domaincitations
- 2018Self-monitoring for maintenance of vehicle fleetscitations
- 2018Features extracted from APPES to enable the categorization of heavy-duty vehicle driverscitations
- 2016Supporting analytical reasoning a study from the automotive industry
- 2016Supporting analytical reasoning : A study from the automotive industry
- 2015Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle datacitations
- 2015Evaluation of Self-Organized Approach for Predicting Compressor Faults in a City Bus Fleetcitations
- 2013Analysis of Truck Compressor Failures Based on Logged Vehicle Data
- 2013Towards a Machine Learning Algorithm for Predicting Truck Compressor Failures Using Logged Vehicle Data
- 2012Ideas for Fault Detection Using Relation Discovery
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