Essays about: "Data-driven fault detection"

Showing result 1 - 5 of 10 essays containing the words Data-driven fault detection.

1. 1. Data-driven Fault Detection and Diagnosis inHardware-in-the-loop Environment

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Arya Farhang; [2023]
   Keywords : ;

   Abstract : The automotive industry has grown rapidly in the previous decades, and with the move toward electrification and driving assistance, the need for faster testing and development is rising.Model-based design(MBD) development cycles partly address the issues by allowing testing to happen before the physical product is created. READ MORE

3. 2. FAULT DETECTION IN AIR HANDLING UNIT (AHU) USING MACHINE LEARNING

   University essay from Högskolan Dalarna/Mikrodataanalys

   Author : Humphry Takang Bate; Wilkingson Igbinosun; [2022]
   Keywords : Fault Detection; AHU; Machine Learning;

   Abstract : Fault in Air Handling Unit (AHU) of the Heating, Ventilation, and Air Conditioning (HVAC) systems in buildings is a challenge that building managements face. These faults cause buildings to waste 15 – 30% of the energy consumed by the AHU. READ MORE

4. 3. Fault Isolation and Identification in Autonomous Hauler Steering System

   University essay from Linköpings universitet/Fluida och mekatroniska system

   Author : Tobias Nyberg; Eric Lundell; [2022]
   Keywords : Data-driven fault detection; neural networks; Feed-Forward; Long Short-Term Memory; Hydraulics; Hauler;

   Abstract : 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

5. 4. Weakly-Supervised Diagnosis with Attention Models

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

   Author : Zaoshi Ying; [2022]
   Keywords : ;

   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

6. 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)

   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