Dynamic modeling and analysis of multistage planetary gear system considering tooth crack fault

Hu, Aijun; Liu, Suixian; Xiang, Ling; Zhang, Yue

doi:10.1016/j.engfailanal.2022.106408

Cited by 31 publications

(13 citation statements)

References 22 publications

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“…The vibration acceleration signals obtained from dynamic simulations are defined along the lines of action for gear pairs, therefore, they will be projected to the vertical direction (the acquiring direction of the transducer). For the s-p pairs and the r-p pairs, the projection parts of the vibration acceleration signals in the vertical direction is given as [37] a v sn (t) = asn (t) cos (αs − ωct − ψn) , (25) a v rn (t) = arn (t) cos (αr + ωct + ψn) , (26) where asn(t) and arn(t) denote the vibration acceleration signals of the nth s-p pairs and the nth r-p pairs, respectively. For the planetary gearbox, vibration comes from gear engagement, then transfers to the housing of the gearbox, and is finally collected by the sensor.…”

Section: Vibration Signal Modelmentioning

confidence: 99%

“…The effect of surface wear can be considered with the faulty gear meshing stiffness and the displacement excitation. The second category of study focused on dynamic modelling and analysis of planetary gear trains with surface wear and tooth crack [16][17][18][19][20][21][22][23][24][25][26][27][28][29]. However, there is a common thread in dynamic modelling that the effects of surface wear and tooth crack are introduced into dynamic models by considering the faulty gear meshing stiffness.…”

Section: Introductionmentioning

confidence: 99%

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Vibration-modelling-based fault feature analysis for incipient damage identification of sun gear

Liu¹

2022

Meas. Sci. Technol.

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Different types of incipient damage to gears need to be distinguished for the reliable and safe operation of mechanical equipment. However, the identification of various types of incipient gear damage is still a challenge for the fault diagnosis of planetary gearboxes. To identify the various types of incipient damage in a sun gear, fault feature analysis is conducted for various damage conditions in a planetary gearbox. First, the internal excitation aroused by gear damage is computed and the effects of the typical damage modes of a sun gear on the internal excitation are demonstrated. Then, the internal excitation of the damaged sun gear is applied into the dynamic model of the planetary gear train to simulate distributed damage or local damage. After that, with the vibration responses obtained from the dynamic model, a vibration signal model is proposed to simulate the vibration signals of the planetary gearbox. Furthermore, the vibration signals are analysed over the time domain and frequency domain. The fault features of the planetary gearbox are characterized by using residual signals and variational mode decomposition signals, which are useful for identifying the various incipient damage types of a sun gear. Finally, the simulated results are validated by experimental tests.

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Section: Vibration Signal Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Vibration-modelling-based fault feature analysis for incipient damage identification of sun gear

Liu¹

2022

Meas. Sci. Technol.

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“…Fault effects on planet phasing Feng et al (2017) [116]; Peng et al (2019) [117]; Liu et al (2020) [118]; Sanchez-Espiga et al (2020) [40]; Luo et al (2021) [119]; Ha and Youn (2022) [120]; Hu et al (2022) [121] For further research, it would be interesting to consider technical challenges and practical applications of planetary gears such as gear housing made of composite materials and tribology to supplement our research and study [122][123][124]. In PGS, the noise induced by the vibration and compactness remains a key concern.…”

Section: Fault Effects On Planet Phasingmentioning

confidence: 99%

Planet Load-Sharing and Phasing

et al. 2022

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This paper presents an analysis of the scientific literature devoted to the problem of load sharing and phasing in planetary gearboxes. The wide range of research topics demonstrates the technical challenges of understanding planetary load-sharing and planet phasing. This review includes studies having the goal of developing models for load sharing and exploring the positive or negative effects of different parameters such as phasing on the load distribution among planets. Practical aspects are also considered, for example, the effects of some errors that are unavoidable during manufacturing or working conditions, e.g., misalignments or position errors. Methods for improving the load-sharing characteristics, e.g., flexible ring or floating components, are discussed as well.

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“…The simulation and experiment results show that as the crack length increases, the amplitude of the gear meshing frequency as well as the sideband frequency gradually increases. Hu et al [25] established a dynamic model of a planetary gear system with sun gear cracks based on the lumped parameter method to study the dynamic characteristics of tooth root cracks. In their research, the modified energy method is used to calculate the meshing stiffness under the gear root crack.…”

Section: Introductionmentioning

confidence: 99%

A novel performance degradation assessment method for rotating machinery based on the fault information and the dynamic simulation

Zhang,

Qin

et al. 2024

Meas. Sci. Technol.

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The performance degradation assessment (PDA) of key components such as gears and rolling bearings is the core technology of prognostics and health management for rotating machinery. Most existing PDA methods may have two deficiencies: (1) the assessment indicator constructed does not consider capturing fault characteristics directly; (2) feature selection is generally based on the measured data of different fault levels, which is difficult to obtain in actual processes; moreover, the selection results lack universality and are difficult to extend to other equipment. To address these issues, this paper proposes a novel PDA method based on fault information and dynamic simulation. First, anomaly detection is performed using four well-known indicators in combination with Mahalanobis distance. Secondly, fault identification is performed using envelope spectrum analysis on anomaly signals to determine the fault type, e.g., gear fault and outer race fault. Thirdly, based on the fault type information, the candidate feature set including fault-domain indicators is selected based on the established dynamic simulation signals to obtain a preliminary assessment vector for the first stage. The stability of the fault domain indicators which capture fault characteristics directly is tested through actual measured normal data. It is used as the second stage of selecting to obtain the assessment vector. Finally, the PDA indicator is calculated based on the assessment vector and Mahalanobis distance. Four experiment case studies demonstrate the proposed PDA method can effectively isolate faults with different defect sizes as well as track the whole performance degradation. The above analysis indicates that the proposed PDA method is expected to be used for the actual rotating machinery.

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Dynamic modeling and analysis of multistage planetary gear system considering tooth crack fault

Cited by 31 publications

References 22 publications

Vibration-modelling-based fault feature analysis for incipient damage identification of sun gear

Vibration-modelling-based fault feature analysis for incipient damage identification of sun gear

Planet Load-Sharing and Phasing

A novel performance degradation assessment method for rotating machinery based on the fault information and the dynamic simulation

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