Essays about: "Data-driven maintenance"
Showing result 1 - 5 of 28 essays containing the words Data-driven maintenance.
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1. The progression towards data-driven manufactu : A case study of four Swedish factories
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Today’s technologies, such as Artificial Intelligence, Internet of Things and Digitals twins, have made data very valuable for most industries. The manufacturing industry is not exempted from this fact. READ MORE
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2. Urban tree canopy mapping -an open source deep learning approach
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Urban trees have an important role to provide ecosystem services and to make our cities greener and more sustainable. The changing climate and densification of cities make it even more valuable to preserve and investigate in urban trees. READ MORE
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3. Prognostics for Condition Based Maintenance of Electrical Control Units Using On-Board Sensors and Machine Learning
University essay from Linköpings universitet/FordonssystemAbstract : In this thesis it has been studied how operational and workshop data can be used to improve the handling of field quality (FQ) issues for electronic units. This was done by analysing how failure rates can be predicted, how failure mechanisms can be detected and how data-based lifetime models could be developed. READ MORE
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4. Predictive Maintenance as a Tool for Servitization : The case of a value-added reseller in the construction equipment industry
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : The construction equipment industry has been slow to increase its level of servitization, compared to other related sectors such as the car and flight industries. The fundamental problem is the endless variants of machines and business settings that their customers operate in. READ MORE
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5. Predictive Maintenance of Induction Motors using Deep Learning : Anomaly Detection using an Autoencoder Neural Network and Fault Classification using a Convolutional Neural Network
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the fast evolution of the Industry 4.0, the increased use of sensors and the rapid development of the Internet of Things (IoT), and the adoption of artificial intelligence methods, smart factories can automate their processes to vastly improve their efficiency and production quality. READ MORE