The effects of the operating conditions and tooth fault on gear vibration signature

Bachar, Lior; Dadon, Ido; Klein, Renata; Bortman, Jacob

doi:10.1016/j.ymssp.2020.107508

Cited by 32 publications

(10 citation statements)

References 13 publications

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“…The contact between the gear teeth is simulated as slices of linear springs. A detailed description of the model and its validation is described in Dadon et al 32, 33 …”

Section: A Dynamic Model For Gear Fault Diagnosismentioning

confidence: 99%

The digital twin in Industry 4.0: A wide‐angle perspective

Kenett

Bortman

2021

Quality & Reliability Eng

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The move towards advanced manufacturing and Industry 4.0 is fed by increased demand for speeding up innovation, increasing flexibility, improving maintenance, and becoming more customized while saving on the total cost of operations. This is accompanied by increased dependence on virtual product and process development, data‐driven processes, and product knowledge. Other characteristics, affecting modern design, include big data intelligence in product, process, and maintenance. New technologies that empower data analytics include added manufacturing, flexible manufacturing, robotics, sensor technology, smart value/supply chains, and industrial information backbones. This paper is about surrogate models, also called digital twins, that provide an important complementary capacity to physical assets. Digital twins capture past, present, and predicted behavior of physical assets. Digital twin models are updated periodically to represent the current state of physical assets. This distinguishes digital twins from conventional simulations in that sensor data can continuously feed them. The type of curated information on the state of physical asset's history depends on how digital twins are used. For example, if a digital twin is used for fault classification, the history captured is operational data from equipment in healthy and faulty states. We provide here a review of digital twins, with an emphasis on Industry 4.0 applications.

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“…The contact between the gear teeth is simulated as slices of linear springs. A detailed description of the model and its validation is described in Dadon et al 32, 33 …”

Section: A Dynamic Model For Gear Fault Diagnosismentioning

confidence: 99%

The digital twin in Industry 4.0: A wide‐angle perspective

Kenett

Bortman

2021

Quality & Reliability Eng

Self Cite

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“…Substitution of the above equations into the energy expressions and employment of the Lagrange equations yields the following discretizated equations of motion in matrix notation as (10) (11) where denotes the generalized coordinate matrix, is the generalized force matrix corresponding to the generalized coordinates. The discretized equations of motion in matrix notation can be given as:…”

Section: Discrete Vibration Equationmentioning

confidence: 99%

“…Guo [10] proposed a new dynamic model and studied the double pulse behavior and mechanism of bearing raceway surface spallation. Bachar [11] studied the influence of working conditions and surface roughness on the vibration characteristics of spur gear transmission, and studied the detection ability of single tooth surface fault. Chen [12] analyzed the changes of dynamic response in time domain and frequency domain for different wear degrees at tooth surface.…”

Section: Introductionmentioning

confidence: 99%

The Mechanism Revealing and Law Explorating for the Nonlinear Response of Blade Disk Rotor System Under the Coupling Effects of Crack and Aerodynamic Force

Yang¹,

Xie²,

Wang³

et al. 2021

Preprint

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Blade disk rotor system is a typical structure of industrial equipments such as aeroengines and gas turbines. The research on the response characteristics and mechanism of the system under the coupling effects of aerodynamic force and blade crack is of great significance to the interpretation of vibration phenomena and diagnosis of faults. From the numerical solution based response characteristic analysis to the kinematics and dynamics based essential response mechanism revealing, from the model based special case study to the Number Theory based general law establishing, in this paper, the response mechanism of blade disk rotor system under the coupling effects of crack and aerodynamic force is studied comprehensively and deeply. Firstly, a simplified dynamic model of typical blade disk rotor system is constructed by using the classical continuous parameter modeling method. Based on the dynamic model, for two structural forms of moving and stationary blades, the typical characteristics of vibration response under the actions of aerodynamic force and blade crack are analyzed by means of numerical solution. Then, from the perspective of kinematics and dynamics, the internal mechanism between the vibration responses and the excitations are revealed. Finally, based on Number Theory, the response characteristics and mechanism of typical structures are summarized, and the general laws of responses with general structural forms are established.

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“…Gear transmissions system is one of the most common in rotating machinery, which are used to transmit torque between shafts. Failure in gears could affect the overall operation of the machine, [4]. The monitoring is carried out for several purposes to characterize the emitted sound, diagnose faults in running machinery's gearboxes and check correctness of gearbox assembly after manufacturing for identifying problems if any, before clearing it for use in any vehicle or machine, [5,6].…”

Section: Introductionmentioning

confidence: 99%

Survey of Gear Fault Diagnosis Using Various Statistical Signals Parameters

2022

Journal of the Egyptian Society of Tribology

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The effects of the operating conditions and tooth fault on gear vibration signature

Cited by 32 publications

References 13 publications

The digital twin in Industry 4.0: A wide‐angle perspective

The digital twin in Industry 4.0: A wide‐angle perspective

The Mechanism Revealing and Law Explorating for the Nonlinear Response of Blade Disk Rotor System Under the Coupling Effects of Crack and Aerodynamic Force

Survey of Gear Fault Diagnosis Using Various Statistical Signals Parameters

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