Essays about: "Prediktivt av tidsserier."

Found 3 essays containing the words Prediktivt av tidsserier..

1. 1. Anomaly detection for prediction of failures in manufacturing environments : Machine learning based semi-supervised anomaly detection for multivariate time series to predict failures in a CNC-machine

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

   Author : Felix Boltshauser; [2023]
   Keywords : Machine learning; Anomaly Detection; DeepAnT; ROCKET; OCSVM; manufacturing; predictive maintenance; Maskin inlärning; Anomali Detektion; DeepAnT; ROCKET; OCSVM; tillverkning; prediktivt underhåll;

   Abstract : For manufacturing enterprises, the potential of collecting large amounts of data from production processes has enabled the usage of machine learning for prediction-based monitoring and maintenance of machines. Yet common maintenance strategies still include reactive handling of machine failures or schedule-based maintenance conducted by experienced personnel. READ MORE

3. 2. A deep learning based anomaly detection pipeline for battery fleets

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

   Author : Nabakumar Singh Khongbantabam; [2021]
   Keywords : Forklift batteries; Battery sensors; Data pipeline; Predictive maintenance; Anomaly detection; Deep learning; Battery failure prediction; Time-series; Variational autoencoder; Long short-term memory; LSTM; Gated recurrent unit; GRU; Isolation nearest neighbor; iNNE; Isolation forest; iForest; kth nearest neighbor; kNN.; Gaffeltruckbatterier; Batterisensorer; Datapipeline; Prediktivt underhåll; Avvikelsedetektering; Deep learning; Batterifelsprediktion; Tidsserier; Variationsautokodare; Långt korttidsminne; LSTM; Gated recurrent unit; GRU; Isolation närmaste granne; iNNE; Isolation skog; iForest; kth närmaste granne; kNN.;

   Abstract : This thesis proposes a deep learning anomaly detection pipeline to detect possible anomalies during the operation of a fleet of batteries and presents its development and evaluation. The pipeline employs sensors that connect to each battery in the fleet to remotely collect real-time measurements of their operating characteristics, such as voltage, current, and temperature. READ MORE

4. 3. 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