To reduce the spectrum leakage influence of the negative frequency component of damped real-value sinusoidal signals, a high precision parameter estimation method is proposed in this paper. The fast Fourier transform algorithm is adopted to improve the real-time performance, and the negative frequency influence is suppressed by a spectrum subtract strategy based on an interpolation method. Then, the accurate frequency, damping factor, initial amplitude and phase of the sampled signals are obtained by an iterative procedure. The theoretical bias and variance are analyzed, and the analytic results indicate that the proposed method is an asymptotic unbiased estimation method. The simulation testing is performed, and the numerical results demonstrate that the proposed method suppresses the spectrum leakage influence of the negative frequency component and improves the estimation performance. Moreover, the efficacy of the proposed method is validated by experimental testing on a Coriolis mass flowmeter.

Noise could occur anywhere in the aerospace and other fields and has a great influence on the operation of the aircraft. The control of the sound emission has attracted a lot of attention from the economic and environmental aspects. Firstly, the noise is annoying for the passengers and pilot and may increase the risk to be exposed for the military applications. Secondly, the sound emission may pose a great damage and threat to the engine equipment due to the strong pressure oscillation. In addition, the combustion noise may also have a great influence on the combustion process in the engine, which may lead to the emission increase and low‐efficiency operation. The noise emission measurement is necessary and very important for the research in aerospace field. The aircraft in aerospace field usually works in the extreme environment, and the noise emission is within a high sound pressure level, which is quite from the acoustic measurement in other fields. Thus, we give a short review to introduce the high sound pressure level acoustic measurement in the aerospace field.

Vibration is a common phenomenon in construction, military, manufacturing and other fields. Dangerous vibrations can directly affect the service life and efficiency of equipment. Vibration analysis is the most important method to prevent the occurrence of these equipment malfunctions. Vibration measurements are indispensable for vibration analysis. Currently, there is a great demand for vibration measurement and detection in industrial systems, and the requirements for the accuracy of measurement results are increasing. Therefore, we provide a brief literature review on the accurate measurement of the vibration, including the sensors, vibration sensor calibration equipment and procedures.

Sciendo provides publishing services and solutions to academic and professional organizations and individual authors. We publish journals, books, conference proceedings and a variety of other publications.