Essays about: "Learning from Failure."

Showing result 36 - 40 of 129 essays containing the words Learning from Failure..

1. 36. Predictive Maintenance of Construction Equipment using Log Data : A Data- centric Approach

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

   Author : Bazil Muzaffar Kotriwala; [2021]
   Keywords : Predictive Maintenance; Construction Equipment; Event Log; Sensor Log; Machine Learning; Imbalanced Data; Prediktivt underhåll; byggutrustning; händelselogg; sensorlogg; maskininlärning; obalanserade data;

   Abstract : Construction equipment manufacturers want to reduce the downtime of their equipment by moving from the typical reactive maintenance to a predictive maintenance approach. They would like to define a method to predict the failure of the construction equipment ahead of time by leveraging the real- world data that is being logged by their vehicles. READ MORE

3. 37. Vehicle Usage Modelling Under Different Contexts

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Nidhi Rani Kalia; Sachin Bharadwaj Bagepalli Ashwathanarayana; [2021]
   Keywords : Machine Learning; Ensemble Clustering; Vehicle Usage; Pattern Extraction;

   Abstract : Modern vehicles nowadays are equipped with highly sensitive sensors which continuously log in the information when the vehicle is in motion. These vehicles also deal with some performance issues like more fuel consumption, breakdown, or failure, etc. READ MORE

4. 38. Jet Printing Quality ImprovementThrough Anomaly Detection UsingMachine Learning

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Henrik Lind; Jacob Janssen; [2021]
   Keywords : Jet Printing; Autoencoder; Anomaly Detection; Sound; Acoustic; Machine Learning; Solder Paste; Piezoelectric Current; Self Sensing;

   Abstract : This case study examined emitted sound and actuated piezoelectric current in a solderpaste jet printing machine to conclude whether quality degradation could be detected with an autoencoder machine learning model. An autoencoder was used to detect anomalies in non-realtime that were defined asa diameter drift with an averaging window from a target diameter. READ MORE

5. 39. Transient Waveform Clustering : Developing efficient data analytics toolchains applying unsupervised machine learning techniques on power quality events

   University essay from Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)

   Author : Albert Varghese Rajan; [2021]
   Keywords : HVDC; Power Quality; Machine Learning; Autoencoder; Clustering; Monitoring and analytics;

   Abstract : High Voltage Direct Current (HVDC) transmission systems appropriate for bulk power transfer to meet increasing power demands and ideal for interconnecting power systems with distant renewable sources of energy without any chances of loss synchronism, efficiency, and reliability. The main obstacle is however connected with the DC grid protection where the timely diagnosis of faults is critical to prevent any rapid built-up leading to failure of the power electronic devices. READ MORE

6. 40. Machine learning in predictive maintenance of industrial robots

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

   Author : Simone Morettini; [2021]
   Keywords : Predictive maintenance; Industrial robots; Gaussian process regression; Exponentron; Hybrid algorithms; Time series prediction.; Prediktivt underhåll; Industriella robotar; Gaussian process regression; Exponentron; Hybridalgoritmer; Prediktivt av tidsserier.;

   Abstract : Industrial robots are a key component for several industrial applications. Like all mechanical tools, they do not last forever. The solution to extend the life of the machine is to perform maintenance on the degraded components. READ MORE