Mechanical components, systems and devices
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Aiming at the fault diagnosis and remaining useful life (RUL) prediction of fatigue cracks of a helicopter main gearbox planet carrier, this article proposes a hidden semi-Markov model (HSMM) methodology, which introduces the explicit state durational distribution parameters into the traditional hidden Markov model (HMM), thus overcoming the limitation of exponential distribution in HMM, retaining strong pattern recognition and classification ability, and improving the diagnostic and prognostic accuracy, and the effectiveness of the method was verified through experiments.
Performance of mechanical seal in piston pump is directly affected by thermal elastohydrodynamic lubrication. An accurate analysis of performance provides with theoretical foundation for further researches on its failure mechanism and remaining useful life. It's generally acknowledged that the oil wedge reflects the performance of seal. Researches on this field normally preset the thickness distribution of oil wedge and then continue study. But hypothetic wedge cannot display the real condition. In order to solve this problem, an original method is put forward in this paper depending on as less empirical equations as possible. Numerical simulation verifies the proposed models and obtains the results consisting of thickness of oil wedge, leakage rate and torque in different conditions, which in turn verifies the availability of the method if there are subsequent physical experiments. It's equally important that combining with finite element method, the proposed method can be applied to other types of mechanical seals which are made of different materials or having different structures.
A novel prediction model for the remaining useful life (RUL) of a Belleville spring based on crack propagation is proposed in this paper. The linear oscillating motor(LOM), which directly provides short stroke reciprocating motion, is extensively utilized in linear actuation systems. Belleville springs are used for mechanical resonance to counteract mover kinetic energy, and prove to be the vital component of LOM to achieve high efficiency. Failure resulting of Belleville springs from fatigue is the main failure mode of LOM in high-frequency applications. From fatigue crack initiation to complete failure, the timely and accurate prediction of Belleville spring's RUL has important significance on motor performance evaluation and flight safety especially for aircraft's Linear Electro-Hydraulic Actuator (LEHA). The Paris formula is used to describe the propagation velocity and the damage process is cumulated by the Miner rule. The RUL of different configuration and material Belleville springs can be predicted by the proposed method, which improves the design of LOM.
Reciprocating seal is an important part of hydraulic equipment and is widely used in the actuator of the aircraft. Performance degradation analysis of them is becoming very important. At present, the researches on the performance degradation analysis of reciprocating seals at home and abroad are mainly focused on the theoretical research of sealing mechanism and experimental research on sealing performance. As the study of performance degradation based on the degradation data of reciprocating seals and the establishment of an effective performance degradation model can accurately describe the reliability of the reciprocating seal during its use. In this paper, Gaussian Copula function is used to establish the binary random correlation degradation model of the friction and leakage of the sealing surface of the reciprocating seal, and a Bayesian method is used to estimate the parameters. The proposed model is verified by performance degradation data of a certain type of reciprocating seal, and the results show that this model is accurate and effective.
