4 citations · 4 across the 2 of their papers we have counts for
6 papers
Probabilistic Machine Learning for Uncertainty-Aware Diagnosis of Industrial Systems
Arman Mohammadi, Mattias Krysander, Daniel Jung +1
Deep neural networks has been increasingly applied in fault diagnostics, where it uses historical data to capture systems behavior, bypassing the need for high-fidelity physical mo…
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…
Time Series Fault Classification for Wave Propagation Systems with Sparse Fault Data
Erik Jakobsson, Erik Frisk, Mattias Krysander +1
In this work Time Series Classification techniques are investigated, and especially their applicability in applications where there are significant differences between the individu…
Massive Machine Type Communication Pilot-Hopping Sequence Detection Architectures Based on Non-Negative Least Squares for Grant-Free Random Access
Narges Mohammadi Sarband, Ema Becirovic, Mattias Krysander +2
User activity detection in grant-free random access massive machine type communication (mMTC) using pilot-hopping sequences can be formulated as solving a non-negative least square…
A Realistic Simulation Testbed of A Turbocharged Spark-Ignited Engine System: A Platform for the Evaluation of Fault Diagnosis Algorithms and Strategies
K. Y. Ng, E. Frisk, M. Krysander +1
Research on fault diagnosis on highly nonlinear dynamic systems such as the engine of a vehicle have garnered huge interest in recent years, especially with the automotive industry…
Design and Selection of Additional Residuals to Enhance Fault Isolation of a Turbocharged Spark Ignited Engine System
K. Y. Ng, E. Frisk, M. Krysander
This paper presents a method to enhance fault isolation without adding physical sensors on a turbocharged spark ignited petrol engine system by designing additional residuals from…