1 citations · 2 across the 4 of their papers we have counts for
4 papers
Usage-Specific Survival Modeling Based on Operational Data and Neural Networks
Olov Holmer, Mattias Krysander, Erik Frisk
Accurate predictions of when a component will fail are crucial when planning maintenance, and by modeling the distribution of these failure times, survival models have shown to be…
Neural Network-Based Piecewise Survival Models
Olov Holmer, Erik Frisk, Mattias Krysander
In this paper, a family of neural network-based survival models is presented. The models are specified based on piecewise definitions of the hazard function and the density functio…
Energy-Based Survival Models for Predictive Maintenance
Olov Holmer, Erik Frisk, Mattias Krysander
Predictive maintenance is an effective tool for reducing maintenance costs. Its effectiveness relies heavily on the ability to predict the future state of health of the system, and…
Lattice-based Motion Planning for a General 2-trailer system
Oskar Ljungqvist, Niclas Evestedt, Marcello Cirillo +2
Motion planning for a general 2-trailer system poses a hard problem for any motion planning algorithm and previous methods have lacked any completeness or optimality guarantees. In…