Essays about: "Condition Based Monitoring"
Showing result 1 - 5 of 124 essays containing the words Condition Based Monitoring.
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1. A deep learning approach for drilling tool condition monitoring in Raiseboring
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Drilling tool wear can significantly affect the performance of the drilling operation and add extra cost to it. Accurate detection of drilling tool condition is very important for enabling proactive maintenance, minimizing downtime, and optimizing drilling processes. READ MORE
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2. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. READ MORE
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3. Challenges in the Maintenance and Diagnostic Segment of Digital Asset Management in the Swedish Railway Industry
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Just like the rest of society, the use of digital technology has throughout the years become a more crucial part for train companies to improve performance, meet customer demands, improve operation and maintenance processes to increase efficiency and reliability. These solutions have through time developed to become part of a cluster named Digital Asset Management (DAM). READ MORE
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4. Condition Monitoring Of Machine Components From Drive Data Using Semi-Supervised Anomaly Detection Methods
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The mission of the machine manufacturer is to gain insights from machine data to increase their machines' efficiency and sustainability. Continuously monitoring the machine data with machine learning helps to detect emerging mechanical problems and prevents unexpected failures. READ MORE
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5. Detection of Abnormalities in Cardiac Rhythm Using Spiking Neural Networks
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Artificial Intelligence (AI) and Machine Learning (ML) have been increasingly attracting attentions in many different fields. Healthcare is one of the areas that has greatly benefited from the advances in AI/ML. READ MORE