1 citations · 1 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…
Analysis of Numerical Integration in RNN-Based Residuals for Fault Diagnosis of Dynamic Systems
Arman Mohammadi, Theodor Westny, Daniel Jung +1
Data-driven modeling and machine learning are widely used to model the behavior of dynamic systems. One application is the residual evaluation of technical systems where model pred…
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…