Essays about: "Predictive maintenance"

Showing result 1 - 5 of 58 essays containing the words Predictive maintenance.

  1. 1. IMPACT OF DIGITALIZATION ON ELECTRICAL MOTOR SYSTEMS : From an energy efficiency perspective

    University essay from Mälardalens högskola/Akademin för ekonomi, samhälle och teknik; Mälardalens högskola/Akademin för ekonomi, samhälle och teknik

    Author : Lovisa Håkansson; Johan Höckerman; [2020]
    Keywords : ;

    Abstract : This master thesis is written in collaboration with the Swedish Energy Agency and the International Energy Agency (Electric Motor System Annex, EMSA) to investigate the potential of using digitalization as a tool to become more energy efficient with regards to electrical motor systems in the Swedish industry. The purpose of this thesis is to examine the potential of energy efficiency, market maturity, opportunities, barriers, and risks related to digitalization applied to electrical motors in Swedish industry. READ MORE

  2. 2. Automatic Generation of Descriptive Features for Predicting Vehicle Faults

    University essay from Högskolan i Halmstad/CAISR Centrum för tillämpade intelligenta system (IS-lab); Högskolan i Halmstad/CAISR Centrum för tillämpade intelligenta system (IS-lab)

    Author : Vandan Revanur; Ayodeji Ayibiowu; [2020]
    Keywords : Dimensionality Reduction; Autoencoder; Artificial Neural Network; Embeddings; Powertrain; Predictive Maintenance;

    Abstract : 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 occurrence proactively, and also being adaptive to the present status of the vehicle, in turn allowing flexible maintenance schedules for efficient repair or replacing of faulty components. PM necessitates the storage and analysis of large amounts of sensor data. READ MORE

  3. 3. Prediction of Component Breakdowns in Commercial Trucks : Using Machine Learning on Operational and Repair History Data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Einar Bremer; [2020]
    Keywords : Machine Learning; Data Science; Neural Networks; Recurrent Neural Networks; Random Forest; Autoencoder; Long Short Term Memory;

    Abstract : The strive for cost reduction of services and repairs combined with a desire for increased vehicle reliability has led to the development of predictive maintenance programs. In maintenance plans, accurate forecasts and predictions regarding which components in a vehicle is in risk of a breakdown is bene_cial to obtain since this enables components to be predictively exchanged or serviced before they break down and cause unnecessary downtime. READ MORE

  4. 4. Forecasting Components Failure Using Ant Colony Optimization For Predictive Maintenance

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi; Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Durlabh Shahi; Ankit Gupta; [2020]
    Keywords : ACO; predictive Maintenance; fault detection;

    Abstract : Failures are the eminent aspect of any machine and so is true for vehicle as it is one of the sophisticated machines of today’s time. Early detection of faults and prioritized maintenance is a necessity of vehicle manufactures as it enables them to reduce maintenance cost and increase customer satisfaction. READ MORE

  5. 5. Dynamic prediction of repair costs in heavy-duty trucks

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Lakshidaa Saigiridharan; [2020]
    Keywords : Hurdle Gamma model; Hierarchical hurdle Gamma model; Generalized linear model GLM ; Supervised Machine Learning; feature selection; Akaike Information Criterion AIC ; prediction of repair costs; heavy-duty trucks; truck variants; operational features;

    Abstract : Pricing of repair and maintenance (R&M) contracts is one among the most important processes carried out at Scania. Predictions of repair costs at Scania are carried out using experience-based prediction methods which do not involve statistical methods for the computation of average repair costs for contracts terminated in the recent past. READ MORE