Rotating machines represent a class of nonlinear, uncertain, and multiple-degrees-of-
freedom systems that are used in various applications. The complexity of the system's …

Shape memory alloys are among the highly applicable smart materials that have recently
appealed to scientists from various fields of study. In this article, a novel shape memory alloy …

Bearings are complex components with nonlinear behavior that are used to reduce the effect
of inertia. They are used in applications such as induction motors and rotating components …

A rub-impact fault is a complex, nonstationary, and nonlinear fault that occurs in turbines.
Extracting features for diagnosing rubbing faults at their early stages requires complex and …

This paper proposed the additional fractional gradient descent identification algorithm based
on the multi-innovation principle for autoregressive exogenous models. This algorithm …

This work is dedicated to the synthesis of a new fault detection and identification scheme for
the actuator and/or sensor faults modeled as unknown inputs of the system. The novelty of …

This study proposes a new representation of discrete Non‐linear AutoRegressive with
eXogenous inputs (NARX) model by develo** its coefficients associated to the input, the …

In this work, a hybrid procedure for bearing fault identification using a machine learning and
adaptive cascade observer is explained. To design an adaptive cascade observer, the …

Featured Application Fault diagnosis of industrial machines. Abstract This paper proposes
an extended-state ARX-Laguerre proportional integral observer (PIO) for fault detection and …

In this article, a real‐time block‐oriented identification method for nonlinear multiple‐input–
multiple‐output systems with input time delay is proposed. The proposed method uses the …