Model-Based Estimation of Elevator Rail Friction Forces

Esteban, Ekaitz; Salgado, Óscar; Iturrospe, Aitzol; Isasa, Inge

doi:10.1007/978-3-319-20463-5_27

Cited by 6 publications

(6 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This sensor set selection is experimentally evaluated in a scaled elevator test bench. 61,62 The third and fourth steps of the virtual sensing approch is the development of an elevator model and the application of an observer algorithm respectively. The elevator model employed in this work is based on a previous model developed by the authors.…”

Section: Virtual Sensing-based Monitoring and Maintenance Approachmentioning

confidence: 99%

“…The elevator model employed in this work is based on a previous model developed by the authors. 34,63 In that paper, the authors presented a coupled electromechanical model for monitoring the ride quality of an elevator car by means of EKF or E-SSRLS algorithms. This model comprises both the mechanical and the electrical subsystems, including the electrical traction machine and a closed-loop Field Oriented Control (FOC).…”

Section: Virtual Sensing-based Monitoring and Maintenance Approachmentioning

confidence: 99%

“…As shown in(Esteban et al, 34,63 the elevator model including the friction forces can be represented in the state space domain as follows,…”

Section: Virtual Sensing-based Monitoring and Maintenance Approachmentioning

confidence: 99%

See 2 more Smart Citations

Virtual sensing-based monitoring and maintenance in elevators

Esteban

Salgado

Iturrospe

et al. 2023

Structural Health Monitoring

Self Cite

View full text Add to dashboard Cite

This paper presents a virtual sensing approach for monitoring the elevator installations. The aim of the proposed virtual sensing approach is to monitor the condition of elevators without installing additional sensors. The adopted virtual sensing approach comprises a coupled-electromechanical elevator model presented in state space domain and a generalized output equation which includes not only the available measurements but also a set of virtual sensors. This virtual sensing approach employs an observer, and this observer estimates other physical quantities that cannot be directly measured with the already installed sensors. The estimated physical quantities are then employed for the calculation of four easy-to-interpret Key Performance Indicators (KPIs). These four indicators will enable to report the condition and triggers maintenance actions of elevator installations. Two of the indicators are related to the elevator ride quality and the energy efficiency which are currently employed by elevator manufacturers for evaluating their elevators. The rest two indicators are related to guide system diagnosis and electrical traction machine diagnosis. Finally, the proposed procedure is experimentally evaluated, by comparing the KPIs calculated based on the estimated virtual sensors and actual measurements, with the values obtained from the additional set of sensors installed in an elevator test tower.

show abstract

Section: Virtual Sensing-based Monitoring and Maintenance Approachmentioning

confidence: 99%

Section: Virtual Sensing-based Monitoring and Maintenance Approachmentioning

confidence: 99%

See 1 more Smart Citation

Virtual sensing-based monitoring and maintenance in elevators

Esteban

Salgado

Iturrospe

et al. 2023

Structural Health Monitoring

Self Cite

View full text Add to dashboard Cite

show abstract

“…Generally, the existing condition monitoring techniques for elevator or elevator components can be broadly classified into two categories, namely model-based and data-driven approaches. E. Esteban et al [4] proposed a model-based strategy to estimate the mechanical energy losses due to the rail friction forces during the ride, as well as whole installation efficiency, where a Linear Parameter Varying (LPV) model of a 1:1 elevator installation was employed. In a subsequent work [5], the authors presented a state space model to represent the dynamics of elevator system, including both electrical and mechanical processes.…”

Section: B Literature Reviewmentioning

confidence: 99%

A Non-Intrusive Deep Learning Based Diagnosis System for Elevators

Chai

Li²,

Jia³

et al. 2021

IEEE Access

View full text Add to dashboard Cite

With the ever-growing number of elevators coupled with the aging workforce, diminishing new installations and limited use of maintenance technology, it is increasingly challenging for the owners and responsible parties to maintain the safe and reliable operation of the lift systems. To address this issue, a non-intrusive artificial intelligence (AI) based diagnosis system, aiming at providing fault detection and potential fault prediction for multi-brand lifts without intervening the existing circuitry of the lift installations, is proposed in this paper. The proposed system employs the multivariate long short term memory fully convolutional network (MLSTM-FCN) to learn and analyze the measured signals from the non-intrusive detection system of the elevators. It is capable of (i) giving advance and clear warnings of corrective actions to prevent major equipment breakdowns, and (ii) indicating just-in-time maintenance for enhancing the lift reliability at a low cost. The implementation of the non-intrusive detection system is provided. The design of the diagnostic algorithm is elaborated. Both the simulations and experiments of a commercial elevator have been conducted to verify the effectiveness of the proposed system.

show abstract

“…e car and the counterweight are urgently braked under gravity, friction, and braking force. Due to sudden deceleration, the traction system experiences an increase in moment, during sudden brake [20]. In order to calculate the brake torque provided by the brake under different working conditions, a 2 : 1 elevator model is taken as the research object in this paper.…”

Section: Theoretical Calculation Model For Elevator Braking Torquementioning

confidence: 99%

A Model‐Based Unloaded Test Method for Analysis of Braking Capacity of Elevator Brake

Peng

Yuan

et al. 2018

Advances in Materials Science and Engineering

View full text Add to dashboard Cite

In order to improve the inspection efficiency and accuracy of the braking capacity of the elevator brake being used, a novel method for analyzing the full-loaded braking performance by using the unloaded braking performance is proposed, and a set of methods for measuring the braking torque is designed. Based on the analysis of the key factors that affect the mechanical performance of the elevator brake, the calculation model of the braking torque in the process of the emergency braking with the traction ratio of 2 : 1 is established, and the relationship between the braking torque and acceleration under different working conditions is analyzed. It is shown that, for the model assumed, the emergency braking torque is 1.56 times that of the static braking torque under 1.25 times the rated load. The braking torque increases linearly with the increase of braking acceleration. An elevator model being used is tested and calculated. The experimental results show that the braking acceleration measured by the experiment is 11.95% less than the theoretical value. And the analysis shows that, comparing with the traditional test method, the braking torque test method designed in this paper is more accurate and safe.

show abstract

Model-Based Estimation of Elevator Rail Friction Forces

Cited by 6 publications

References 7 publications

Virtual sensing-based monitoring and maintenance in elevators

Virtual sensing-based monitoring and maintenance in elevators

A Non-Intrusive Deep Learning Based Diagnosis System for Elevators

A Model‐Based Unloaded Test Method for Analysis of Braking Capacity of Elevator Brake

Contact Info

Product

Resources

About