Essays about: "PHM"

Showing result 1 - 5 of 7 essays containing the word PHM.

1. 1. Remaining Useful Life Prediction of Power Electronic Devices Using Recurrent Neural Networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Congrui Cai; [2023]
   Keywords : Power electronics; Prognostics and health management; Remaining useful life; Recurrent neural network; Kraftelektronik; Prognostik och hälsoledning; Återstående livslängd; Återkommande neurala nätverk;

   Abstract : The growing demand for sustainable technology has led to an increased application of power electronics. As these devices are often exposed to harsh conditions, their reliability is a primary concern for both manufacturers and users. READ MORE

3. 2. 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)

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

   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

4. 3. Evaluation of machine learning methods for anomaly detection in combined heat and power plant

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Fredrik Carls; [2019]
   Keywords : Machine Learning; Anomaly detection; Fault detection; Health condition monitoring; Sensor surveillance; PHM; CHP Plant Boilers; k-Nearest Neighbor; One-Class Support Vector Machine; Auto-encoder; Maskininlärning; Anomalidetektion; Feldetektering; Tillståndsbevakning; Sensorövervakning; PHM; Kraftvärmeverkpannor; k-Nearest Neighbor; One-Class Support Vector Ma- chine; Auto-encoder;

   Abstract : In the hope to increase the detection rate of faults in combined heat and power plant boilers thus lowering unplanned maintenance three machine learning models are constructed and evaluated. The algorithms; k-Nearest Neighbor, One-Class Support Vector Machine, and Auto-encoder have a proven track record in research for anomaly detection, but are relatively unexplored for industrial applications such as this one due to the difficulty in collecting non-artificial labeled data in the field. READ MORE

5. 4. Diagnostics and Prognostics of safety critical systems using machine learning, time and frequency domain analysis

   University essay from Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandling

   Author : Pratik Purkayastha; [2019]
   Keywords : Diagnostics; Prognostics; PHM; predictive maintenance;

   Abstract : The prime focus of this thesis was to develop a robust Prognostic and Diagnostic Health Management module (PDHM), capable of detecting faults, classifying faults, fault progression tracking and estimating time to failure. Priority was to obtain as much accuracy as possible with the bare minimum amount of sensors as possible. READ MORE

6. 5. Failure rate prediction of low voltage networks using regression models

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Alexander Kolmodin; Linus Johansson; [2018]
   Keywords : ;

   Abstract : High age of low voltage grids is becoming an increasing issue. This in combinationwith a high penetration of distributed generation will increase the demandfor accurate reliability assessment of the low voltage grid. READ MORE