In this paper, we propose a real-time diagnostic method using a convolutional neural
network (CNN) to detect cylinder misfires and engine load conditions in multi-cylinder …

This paper presents two torque estimation methods for vehicle engines: unknown input
observer (UIO) and adaptive parameter estimation. We first propose a novel yet simple …

This paper presents contributions for online estimation of states and parameters of an
induction motor with Kalman filter. In order to ensure a good level of confidence of the …

Presented is a real-time engine brake torque estimation model where the instantaneous
measured engine speed serves as the model input. The model is comprised of notch filters …

This work deals with the nonlinear control of a three cylinders spark ignition (SI) engine
using a fuzzy control strategy based on a Takagi–Sugeno (TS) modeling and robust control …

In this paper, a new estimation method for the inner combustion torque of internal
combustion engines and a misfire detection algorithm are presented. The torque estimate is …

An augmented Kalman filter for torque estimation in marine propulsion-system drive trains is
presented. Propeller and motor excitations and torque responses are estimated based on a …

This paper presents an artificial neural networks approach to estimate the indicated torque
of a single-cylinder diesel engine from crank shaft angular position and velocity …

In this paper, we consider periodic linear systems driven by T0-periodic signals that we
desire to reconstruct. The systems under consideration are of the form x˙= A (t) x+ A0 (t) w (t) …

Torque estimation needs intensive efforts and costly sensors. In this research, a model was
proposed based on soft computing to estimate the ITM285 tractor engine torque using some …