Model-based condition monitoring of guiding rails in electro-mechanical systems

González, M.; Salgado, Óscar; Hernandez, Xabier; Croes, J. James R.; Pluymers, Bert; Desmet, Wim

doi:10.1016/j.ymssp.2018.10.044

Cited by 21 publications

(13 citation statements)

References 22 publications

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“…In addition, to better compare these model, this table summarizes for each model (i) the required external input, (ii) the model's goal, (iii) the generation method, (iv) the median computational time of 10 simulations of circa 6 s, and (v) a reference to an application case. The reference model provides a tool to assess the effect of guide defects on the overall performance of the installation, while the reduced models may be combined with estimation algorithms as suggested in [5,33]. As previously described, this model reduction does not refer to a classical model order reduction consisting on a matrix space reduction.…”

Section: Figure 2 Cabin Model With Dof Selection Built In Modelicamentioning

confidence: 99%

“…However, the unmeasured states (x, y, φ, θ, ψ and their derivatives) are bounded due to the guiding rails. Consequently, for these states it is fulfilled that lim t→∞ x(t) = 0, making these states asymptotically stable, and the states of interest detectable [5,41], i.e. z,ż, and δ.…”

Section: B Guide Profile Virtual Sensor: Bottom-up Parameter Estimationmentioning

confidence: 99%

“…This opens the way to continuously simulate and update with measurements a virtual replica of the system. Such a replica may give insight into the system's behavior, for instance by (i) providing virtual sensors that extend available data [2,3], (ii) generating synthetic data to feed machine learning algorithms [4], (iii) providing indicators of the system's condition [5], or (iv) simulating potential operational decisions to aid decision making. This concept is referred to as Digital Twin (DT).…”

Section: Introductionmentioning

confidence: 99%

“…Together with faults in the electric machine, the faults in the guiding system have the highest effect on energy efficiency and comfort [22]. Such faults are mainly due to guide misalignment and bumps in the guide joints [5]. Most of the guiding system monitoring strategies of the literature rely on complex devices to measure the guide's deviation [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

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A Digital Twin for Operational Evaluation of Vertical Transportation Systems

et al. 2020

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Section: Figure 2 Cabin Model With Dof Selection Built In Modelicamentioning

confidence: 99%

Section: B Guide Profile Virtual Sensor: Bottom-up Parameter Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Digital Twin for Operational Evaluation of Vertical Transportation Systems

et al. 2020

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“…An EKF has been adopted as the online estimation algorithm to identify the friction coefficient. The procedure is briefly recalled in this section.…”

Section: Problem Statement and Observer Designmentioning

confidence: 99%

Online estimation of the friction coefficient in sliding isolators

Calabrese

Quaglini

Strano

et al. 2019

Struct Control Health Monit

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The identification of nonlinear structural dynamic systems is a common task in civil engineering, where it is applied for damage detection and health monitoring. In this paper, a structural dynamic identification procedure based on the extended Kalman filtering (EKF) is proposed for online estimation of the coefficient of friction of friction-based isolators, such as Friction Pendulum Systems or Curved Slider Surface Sliders, starting from the measured accelerations of the isolated superstructure. The suitability of the EKF estimator for the proposed application is demonstrated for two case studies. In the first case study, focused on the numerical analysis of a two degree of freedom system isolated with Curved Surface Sliders, the procedure is used to identify the material parameters of an exponential friction model. The second case study illustrates the application of the procedure to an experimental investigation carried out on a base-isolated structural prototype tested on a shake table. Both numerical and experimental results demonstrate that the proposed EKF observer provides reliable state estimation and correct identification of the coefficient of friction accounting for its dependence on the velocity, and can be applied to isolators characterized by different levels of friction. The methodology can be used for the determination of the friction coefficient of sliding isolators in real applications, as well as for the assessment of any modification of the coefficient of friction due to the aging, wear and contamination of sliding devices. K E Y W O R D Ssliding isolators, coefficient of friction, extended Kalman filter, nonlinear system identification, parameter estimation

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Vibration Analysis Based Condition Monitoring for Industrial Robots

Han

Lin

et al. 2021

Proceedings of IncoME-V &Amp; CEPE Net-2020

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show abstract

Model-based condition monitoring of guiding rails in electro-mechanical systems

Cited by 21 publications

References 22 publications

A Digital Twin for Operational Evaluation of Vertical Transportation Systems

A Digital Twin for Operational Evaluation of Vertical Transportation Systems

Online estimation of the friction coefficient in sliding isolators

Vibration Analysis Based Condition Monitoring for Industrial Robots

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