Browsing AURA by Author "Robbersmyr, Kjell Gunnar"
Now showing items 21-25 of 25
-
RMS Based Health Indicators for Remaining Useful Lifetime Estimation of Bearings
Klausen, Andreas; Huynh, Khang; Robbersmyr, Kjell Gunnar (Peer reviewed; Journal article, 2022)Estimating the remaining useful life (RUL) of bearings from healthy to faulty is important for predictive maintenance. The bearing fault severity can be estimated based on the energy or root mean square (RMS) of vibration ... -
Robust Active Learning Multiple Fault Diagnosis of PMSM Drives with Sensorless Control under Dynamic Operations and Imbalanced Datasets
Attestog, Sveinung; Senanayaka, Jagath Sri Lal; Huynh, Van Khang; Robbersmyr, Kjell Gunnar (Peer reviewed; Journal article, 2022)This paper proposes an active learning scheme to detect multiple faults in permanent magnet synchronous motors in dynamic operations without using historical labelled faulty training data. The proposed method combines the ... -
Robust Multiple-Fault Diagnosis of PMSM Drives Under Variant Operations and Noisy Conditions
Eid, Mahmoud Sayed Mahmoud; Huynh, Khang; Senanayaka, Jagath Sri Lal; Robbersmyr, Kjell Gunnar (Peer reviewed; Journal article, 2023)With the rapid development of industrial applications using permanent magnet synchronous motors (PMSMs) and the Internet of Things, the demand for using robust fault diagnosis methods working in noisy conditions has increased ... -
Simulation-driven Deep Classification of Bearing Faults from Raw Vibration Data
Hemmer, Martin; Klausen, Andreas; Huynh, Khang; Robbersmyr, Kjell Gunnar; Waag, Tor Inge (Journal article; Peer reviewed, 2019) -
Vehicle crashworthiness performance in frontal impact: Mathematical model using elastic pendulum
Noorsumar, Gulshan; Rogovchenko, Svitlana; Robbersmyr, Kjell Gunnar; Vysochinskiy, Dmitry (Journal article; Peer reviewed, 2022)Vehicle occupant injuries due to collisions cause many fatalities every year. Safe vehicle design plays a critical role in averting serious injuries to occupants and vulnerable road users in the event of a crash. In this ...