A New Implementation of Digital Twins for Fault Diagnosis of Large Industrial Equipment

Zhang, Ming; Amaitik, Nasser; Xu, Yuchun; Rossini, Rosaria; Bosi, Ilaria; Cédola, Ariel Pablo

doi:10.53996/2770-4122.jrme.1000103

Cited by 4 publications

(2 citation statements)

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“…Ref. [ 49 ] discusses a novel implementation method that combines DT with the FD of large industrial equipment focused on rolling bearings. The proposed framework was evaluated by comparing real-world and simulated fault signals of the rolling bearing, giving information on the performance of the inner and outer race, using a sampling frequency of 12 kHz and 1750 rpm test speed.…”

Section: Digital Twin In Fault Monitoringmentioning

confidence: 99%

Exploring Digital Twin-Based Fault Monitoring: Challenges and Opportunities

Bofill,

Abisado,

Villaverde

et al. 2023

Sensors

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High efficiency and safety are critical factors in ensuring the optimal performance and reliability of systems and equipment across various industries. Fault monitoring (FM) techniques play a pivotal role in this regard by continuously monitoring system performance and identifying the presence of faults or abnormalities. However, traditional FM methods face limitations in fully capturing the complex interactions within a system and providing real-time monitoring capabilities. To overcome these challenges, Digital Twin (DT) technology has emerged as a promising solution to enhance existing FM practices. By creating a virtual replica or digital copy of a physical equipment or system, DT offers the potential to revolutionize fault monitoring approaches. This paper aims to explore and discuss the diverse range of predictive methods utilized in DT and their implementations in FM across industries. Furthermore, it will showcase successful implementations of DT in FM across a wide array of industries, including manufacturing, energy, transportation, and healthcare. The utilization of DT in FM enables a comprehensive understanding of system behavior and performance by leveraging real-time data, advanced analytics, and machine learning algorithms. By integrating physical and virtual components, DT facilitates the monitoring and prediction of faults, providing valuable insights into the system’s health and enabling proactive maintenance and decision making.

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Section: Digital Twin In Fault Monitoringmentioning

confidence: 99%

Exploring Digital Twin-Based Fault Monitoring: Challenges and Opportunities

Bofill,

Abisado,

Villaverde

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…DT is implemented to enhance the manufacturing process of products in terms of time and amount of wastage where a model setting for injection molding machine aids modelling cases of production steps [14]. Merging the DT with abnormality detecting in machines of industries showed its high ability to diagnose abnormality in rolling bearing [15]. In Industry 4.0 of modern drivers [16], DT has become the major technology which is implemented to integrate the data linkage between the real and virtual machines [17].…”

Section: Introductionmentioning

confidence: 99%

On‐Board Digital Twin Based on Impedance and Model Predictive Control for Aerial Robot Grasping

Qahmash,

Al-Darraji,

Khadidos

et al. 2023

Journal of Sensors

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Aerial manipulation of objects has a number of advantages as it is not limited by the morphology of the terrain. One of the main problems of the aerial payload process is the lack of real-time prediction of the interaction between the gripper of the aerial robot and the payload. This paper introduces a digital twin (DT) approach based on impedance control of the aerial payload transmission process. The impedance control technique is implemented to develop the target impedance based on emerging the mass of the payload and the model of the gripper fingers. Tracking the position of the interactional point between the fingers of gripper and payload, inside the impedance control, is achieved using model predictive control (MPD) approach. The developed on-board DT offered a model where interaction with the unknown payload and aerial robot dynamics is informed. Beside this, the results showed the ability of the introduced DT to foretell the conditions of the forces acting on the payload which helped to predict the situation of aerial manipulation process. Additionally, the results showed that the DT model could detect real-time errors in the physical asset.

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Dynamical Simulation Analysis of Faulty Gearbox in Quay Crane Under Dynamic Load

Feng,

Zhang,

Chen

et al. 2024

Lecture Notes in Mechanical Engineering

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Dynamics simulations with faults can elucidate fault vibration characteristics, yet the vibrational properties of the quay crane lifting gearboxes under dynamic load excitation remain unclear. Based on multi-body dynamics theory, a multi-body dynamical model of the quay crane gearbox is established, simulating dynamic load excitation caused by cables and containers during the operation of a quay crane. The vibration responses under various working conditions and load types of different gear states are analyzed, and the corresponding fault frequency features are extracted by envelope spectrum. Simulations indicate that local gear faults enlarge the amplitude of gearbox vibrations, inducing the phenomenon of gear mesh frequency and its harmonics modulated by gear fault frequency. Based on these studies, a testbed for the quay crane gearbox is constructed. The experiment verifies the accuracy of the dynamic model and reveals that the simulation signal of load-as-dynamic-load is more consistent with reality than static load. The results provide a basis for fault diagnosis of quay crane lifting gearboxes under dynamic load, and can offer simulation data support for intelligent diagnosis models lacking fault samples.

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A New Implementation of Digital Twins for Fault Diagnosis of Large Industrial Equipment

Cited by 4 publications

References 0 publications

Exploring Digital Twin-Based Fault Monitoring: Challenges and Opportunities

Exploring Digital Twin-Based Fault Monitoring: Challenges and Opportunities

On‐Board Digital Twin Based on Impedance and Model Predictive Control for Aerial Robot Grasping

Dynamical Simulation Analysis of Faulty Gearbox in Quay Crane Under Dynamic Load

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