22 citations · 44 across the 14 of their papers we have counts for
3 papers · 1 filter
The LiU-ICE Benchmark -- An Industrial Fault Diagnosis Case Study
Daniel Jung, Erik Frisk, Mattias Krysander
This paper presents the LiU-ICE fault diagnosis benchmark. The purpose of the benchmark is to support fault diagnosis research by providing data and a model of an industrially rele…
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…