Essays about: "Data-driven Transition"
Showing result 1 - 5 of 19 essays containing the words Data-driven Transition.
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1. ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : As the Automotive industry is heavily regulated from a quality point of view, excellence in pro-duction is obligatory. Due to the fact that removing human error from humans is impossible, new solutions must be found. READ MORE
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2. Implications of Analytics and Visualization of Torque Tightening Process Data on Decision Making : An automotive perspective
University essay from KTH/ProduktionsutvecklingAbstract : In recent years, there is an increased focus on integrating digital technologies in industrial processes, also termed ”Industry 4.0”. Out of the many challenges for the transition, one is to understand how to find useful insights from data collected over large periods of time, predominantly in industrial IT systems. READ MORE
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3. Working towards Circular Economy using Blockchain of Things : An exploratory thesis; The Challenges of implementing Blockchain of Things for a Circular Economy
University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomiAbstract : Background: The internet of things (IoT) is transforming industries by enabling data-driven decision-making. IoT play a crucial role in the transition to a Circular Economy of businesses. However, the intrinsic features of the IoT, such as centralization, poor interoperability, and privacy and security vulnerabilities, pose several challenges. READ MORE
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4. Fault Isolation and Identification in Autonomous Hauler Steering System
University essay from Linköpings universitet/Fluida och mekatroniska systemAbstract : During the past years an increased focus on the development of autonomous solutions has resulted in driverless vehicles being used in numerous industries. Volvo Construction Equipment is currently developing the TA15, an autonomous hauler part of a larger transport solution. READ MORE
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5. Weakly-Supervised Diagnosis with Attention Models
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the rapid development of data-driven solutions, a high-quality dataset with fine labels can well tackle fault diagnosis problems. However, in industry assets, the quality of the dataset depends much on the experience and capability of the annotation engineer. Therefore, strong labels are usually hard and expensive to acquire. READ MORE