Sökning: "Failure detection"

Visar resultat 21 - 25 av 119 uppsatser innehållade orden Failure detection.

1. 21. Predictive Maintenance of Induction Motors using Deep Learning : Anomaly Detection using an Autoencoder Neural Network and Fault Classification using a Convolutional Neural Network

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Diego Andres Moreno Salinas; [2022]
   Nyckelord :Predictive maintenance; Fault Diagnosis; Anomaly Detection; Deep Learning; Machine Learning; Induction Motors; Prediktivt underhåll; feldiagnostik; upptäckt av avvikelser; djup inlärning; maskininlärning; induktionsmotorer;

   Sammanfattning : 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. LÄS MER

3. 22. An Investigation of Methods for Flow Measurements in a Gasketed Plate Heat Exchanger for Predictive Maintenance

   Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

   Författare :Viktor Ekström; [2022]
   Nyckelord :gasketed plate heat exchanger; electrical measurements; sensors; predictive maintenance; machine learning; Technology and Engineering;

   Sammanfattning : For a company to stay relevant in the long term, it is essential to keep up with the latest technology and continuously consider new innovative solutions for improving products and services. The gasketed plate heat exchanger (GPHE) is a mechanical device, and this work attempts to investigate different possibilities for incorporating sensor devices and predictive maintenance systems to improve the device. LÄS MER

4. 23. ALS (Airborne Lidar) accuracy: Can potential low data quality of Lidar ground points be modelled/detected based on recorded point cloud characteristics? Case study of 2016 Lidar capture over Auckland, New Zealand

   Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

   Författare :Gabriela Olekszyk; [2022]
   Nyckelord :Geography; GIS; Lidar; ALS; Point cloud; Accuracy; Quality; Technology and Engineering;

   Sammanfattning : Gabriela Olekszyk ALS (Airborne Lidar) accuracy: Can potential low data quality of Lidar ground points be modelled/detected based on recorded point cloud characteristics? Case study of 2016 Lidar capture over Auckland, New Zealand. Lidar (Light Detection and Ranging) data is becoming more widely available and accessible. LÄS MER

5. 24. Preemptive Atrial Suction Detection and Classification for Total Artificial Hearts : Preemptive Atrial Suction Detection and Classification

   Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

   Författare :Erik Lindgren; Emma Jakobsson; [2022]
   Nyckelord :atrial suction; preemptive; ai; rnn; mock loop; total artificial heart; tah;

   Sammanfattning : Millions of people suffer from heart failure worldwide. The need for heart donations started the development of mechanical circulatory support systems. A suction phenomenon can occur in the artificial heart when not enough blood is available. LÄS MER

7. 25. Early Anomaly Detection in Electrical Bushings Manufacturing at Hitachi Energy

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Felipe Quintero Suárez; [2022]
   Nyckelord :Machine Learning; anomaly detection; manufacturing process.; Maskininlärning; avvikelsedetektering; tillverkningsprocess.;

   Sammanfattning : The manufacturing of electrical bushings for high voltages is complicated and highly demanding technology-wise. This process has more than 10 steps where a single mistake in the chain could cause a complete failure of the final product. A faulty bushing represents high costs to the company both economically and in terms of public image. LÄS MER