Review for order reduction based on proper orthogonal decomposition and outlooks of applications in mechanical systems

Lu, Kuan; Jin, Yulin; Chen, Yushu; Yang, Yue; Hou, Lei; Zhang, Zhiyong; Li, Zhonggang; Fu, Chao

doi:10.1016/j.ymssp.2019.01.018

Cited by 169 publications

(55 citation statements)

References 246 publications

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“…It has been systematically explored for decades in many different areas including computational mechanics [191]- [194], combustion [195]- [197], cosmology [198]- [200], electrodynamics [201]- [204], meteorology [205]- [208], fluid mechanics [209]- [215], heat transfer [216]- [218] and various other multiphysics processes [219]- [225], as well as systems and control theories [226]- [231] in order to provide computational feasible surrogate models. Although the concept can be traced back to the works done by Fourier (1768-1830), there exist many recent monographs [232]- [239] and review articles [240]- [253]. In practice, ROMs (i.e., emulators) have great promise for applications especially when multiple forward full-order numerical simulations are required (e.g., data assimilation [254]- [259], parameter identification [260]- [263], uncertainty quantification [264]- [270], optimization and control [271]- [278]).…”

Section: Nonintrusive Data-driven Modelingmentioning

confidence: 99%

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

2020

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A digital twin can be defined as an adaptive model of a complex physical system. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, big data cybernetics, data processing and management tools bring the promise of digital twins and their impact on society closer to reality. Digital twinning is now an important and emerging trend in many applications. Also referred to as a computational megamodel, device shadow, mirrored system, avatar or a synchronized virtual prototype, there can be no doubt that a digital twin plays a transformative role not only in how we design and operate cyber-physical intelligent systems, but also in how we advance the modularity of multi-disciplinary systems to tackle fundamental barriers not addressed by the current, evolutionary modeling practices. In this work, we review the recent status of methodologies and techniques related to the construction of digital twins. Our aim is to provide a detailed coverage of the current challenges and enabling technologies along with recommendations and reflections for various stakeholders.

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Section: Nonintrusive Data-driven Modelingmentioning

confidence: 99%

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

2020

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“…Rotating machinery is the most commonly used type of machine in modern industry, civilian and military applications, such as compressors, steam turbines, automobiles, industrial fans, and aircraft engines [1][2][3][4][5][6][7]. Due to the high service load, harsh operating conditions or inevitable fatigue, faults may develop in rotating machinery [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery

Wei

et al. 2019

Entropy

174

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Rotating machinery is widely applied in various types of industrial applications. As a promising field for reliability of modern industrial systems, early fault diagnosis (EFD) techniques have attracted increasing attention from both academia and industry. EFD is critical to provide appropriate information for taking necessary maintenance actions and thereby prevent severe failures and reduce financial losses. A massive amounts of research work has been conducted in last two decades to develop EFD techniques. This paper reviews and summarizes the research works on EFD of gears, rotors, and bearings. The main purpose of this paper is to serve as a guidemap for researchers in the field of early fault diagnosis. After a brief introduction of early fault diagnosis techniques, the applications of EFD of rotating machine are reviewed in two aspects: fault frequency-based methods and artificial intelligence-based methods. Finally, a summary and some new research prospects are discussed.

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“…A spring-mass model was developed for a mistuned multistage bladed rotor by Sinha [11], and the algorithm for the reduced-order model was presented. Lu et al gave a review in modeling and modal reduction of the coupling rotor system in [12]. Ma et al [13] established a new dynamical model and validated it by the finite element method and experimental practice as well.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Dynamic Characteristics Analysis of Blade-Disk Dual-Rotor System

Zhong²,

Chen

et al. 2020

Complexity

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In this paper, a simplified dynamic model of a dual-rotor system coupled with blade disk is built, and the effects of blade parameters of an aircraft engine on the dynamic characteristics of a dual-rotor system are studied. In the methodology, the blade is simplified as a cantilever structure, and the dynamical equations are obtained by the means of a finite element method. The amplitude-frequency response curves and orbits of shaft centre-vibration shape diagram are used to analyze the effects of blade parameters on dynamic characteristics of a dual-rotor system. The results indicate that the properties of the blades have huge impacts on the critical speed and other dynamic characteristics of the system. With an increase of the length of the blade, the second-order critical speed decreases obviously, but the first-order critical speed is almost invariant; this means that the blades attached on the low-pressure compressor do not affect the first-order critical speed of the dual-rotor system. Meanwhile, note that the high-pressure rotor and low-pressure turbine rotor can excite the first-order resonance of the dual-rotor system, while the low-pressure compressor rotor can only excite the second-order resonance, and then the dynamic model of this six-point support dual-rotor system can further be simplified as a relatively independent single-rotor system with one disk and a four-support dual-rotor system with dual disks.

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Review for order reduction based on proper orthogonal decomposition and outlooks of applications in mechanical systems

Cited by 169 publications

References 246 publications

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery

Modeling and Dynamic Characteristics Analysis of Blade-Disk Dual-Rotor System

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