Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 4 of 4
Full-Text Articles in Engineering
An Application Of Clustering And Cluster Update Methods To Boiler Sensor Prediction And Case-Based-Reasoning To Boiler Repair, Timothy Edward Rooney
An Application Of Clustering And Cluster Update Methods To Boiler Sensor Prediction And Case-Based-Reasoning To Boiler Repair, Timothy Edward Rooney
Theses and Dissertations
Driven by demand from both consumers and manufacturers alike, Internet of Things (IoT)
capabilities are being built into more products. Consumers want more control and access to their
devices, while manufacturers can find data gathered from IoT-capable products invaluable. In
this thesis, we use data from a growing fleet of IoT-connected boilers in the residential, lightcommercial, and medium-commercial ranges to demonstrate a framework for cluster initialization
and updating. We compare two methods of dynamically updating clusters: a sequential method
inspired by sequential K-means clustering and a cohesion-based method called DYNC. A predictive
artificial neural network system demonstrates the effectiveness of …
Internal Fault Diagnosis Of Mmc-Hvdc Based On Classification Algorithms In Machine Learning, Tianyi Jin
Internal Fault Diagnosis Of Mmc-Hvdc Based On Classification Algorithms In Machine Learning, Tianyi Jin
Theses and Dissertations
With the development of the HVDC system, MMC-HVDC is now the most advanced technology that has been put into use. In power systems, faults happen during the operation due to natural reasons or devices physical issues, which would cause serious economic losses and other implications. Thus, fault detection and analysis are extremely important, especially in the HVDC system. Existing works in literature mainly focus on the faults detection and analysis on the system side such as short circuit of the AC side, and open circuit of the DC side. However, little attention has been paid to the fault detection and …
Internal Fault Diagnosis Of Mmc-Hvdc Based On Classification Algorithms In Machine Learning, Tianyi Jin
Internal Fault Diagnosis Of Mmc-Hvdc Based On Classification Algorithms In Machine Learning, Tianyi Jin
Theses and Dissertations
With the development of the HVDC system, MMC-HVDC is now the most advanced technology that has been put into use. In power systems, faults happen during the operation due to natural reasons or devices physical issues, which would cause serious economic losses and other implications. Thus, fault detection and analysis are extremely important, especially in the HVDC system. Existing works in literature mainly focus on the faults detection and analysis on the system side such as short circuit of the AC side, and open circuit of the DC side. However, little attention has been paid to the fault detection and …
Increased Cyclist Safety Using An Embedded System, Matthew Ryan Heydorn
Increased Cyclist Safety Using An Embedded System, Matthew Ryan Heydorn
Theses and Dissertations
In order to reduce bicycle-vehicle collisions, we design and implement a cost effectiveembedded system to warn cyclists of approaching vehicles. The system uses an Odroid C2 singleboard computer (SBC) to do vehicle and lane detection in real time using only vision. The system warns cyclist are warned of approaching cars using both a smartphone app and an LED indicator. Due to the limited performance of the Odroid C2 and other low power and low cost SBCs,we found that existing detection algorithms run either too slowly or do not have sufficient accuracy to be practical. Our solution to these limitations is …