Импульсный магнитный контроль толщины металлических покрытий

The research results of the characteristics of magneto-inductive thickness gauges measuring transducers using harmonic excitation currents for the case of inspecting electrically conductive coatings are presented, on the basis of which a transducing algorithm is proposed and described in detail, which involves pulsed excitation of a magnetic field and the use of the induced EMF area as a primary informative parameter when suppressing the influence of network and pulse noise, used in serial thickness gauges of metallic non-ferromagnetic coatings on ferromagnetic substrates.

CALCULATIONS FOR EVALUATING THE ACOUSTIC EFFICIENCY OF MEASURES TO REDUCE PULSE NOISE IN INDUSTRIAL PREMISES

At modern manufacturing enterprises, machines and mechanisms that emit pulsed noise are widely used. Pulse noise has a more harmful effect on workers than time-constant, time fluctuating and intermittent noises. Pulse noise reduction is possible through the application of design changes in the pulse noise source and the development of organizational, technological, construction and acoustic measures. The choice of specific events is made on the basis of their acoustic efficiency assessment. For this purpose, it is necessary to have a method for calculating pulse noise that takes into account its space-time characteristics and their possible changes with structural changes of the source, as well as with changes in the space-planning and acoustic parameters of premises. In the article, to assess the acoustic efficiency of pulse noise, it is proposed to use a combined calculation method developed by the authors, taking into account the real mirror-diffuse nature of sound reflection from the room fences. On its basis, it is analyzed the possibilities of using various methods and means to reduce the impact of noise on the workers in rooms with pulsed sound sources.

Analysis and optimization of idle noise caused by canister purge solenoid valve

In the development process of a certain CHINA VI proprietary brand car model, there exists the problem of intermittent “dada” sound in the cockpit during idling. After investigation, it’s determined that the air pulse noise generated when the canister purge solenoid valve is working, it is transmitted to the car panels through the pipeline, and then to the cockpit, which would cause a “dada” sound. By adding expansion chamber in the desorption pipe and designing part of the pipeline which fixed in the clamp as rubber pipe, the intensity of air pulse can be effectively reduced and the transmission path of air pulse vibration can be blocked. Through objective testing and subjective evaluation, the scheme can greatly reduce the idle noise of the cockpit, thus improving the NVH performance of the vehicle and bringing comfortable riding environment to the passengers.

A New Fault Feature Extraction Method for Rotating Machinery Based on Multiple Sensors

During the operation of rotating machinery, the vibration signals measured by sensors are the aliasing signals of various vibration sources, and they contain strong noises. Conventional signal processing methods have difficulty separating the aliasing signals, which causes great difficulties in the condition monitoring and fault diagnosis of the equipment. The principle and method of blind source separation are introduced, and it is pointed out that the blind source separation algorithm is invalid in strong pulse noise environments. In these environments, the vibration signals are first de-noised with the median filter (MF) method and the de-noised signals are separated with an improved joint approximate diagonalization of eigenmatrices (JADE) algorithm. The simulation results found here verify the effectiveness of the proposed method. Finally, the vibration signal of the hybrid rotor is effectively separated by the proposed method. A new separation approach is thus provided for vibration signals in strong pulse noise environments.

Jamming Resistance of the Inbound Channel of an Identification System with Broadband Signals and Error Control Codes in the Conditions of Pulse Noise and Intra-System Jamming

Results of an assessment of a noise stability of the request channel of a radar-tracking identification with broadband signals in the conditions of pulse noise and intersystem hindrances are given. Optimum alarm and code designs of orthogonal broadband signals decide on Read-Solomon’s correcting codes for various characteristics of influencing hindrances

Wireless Sensor Network Localization via Matrix Completion Based on Bregman Divergence

One of the main challenges faced by wireless sensor network (WSN) localization is the positioning accuracy of the WSN node. The existing algorithms are arduous to use for dealing with the pulse noise that is universal and ineluctable in practical considerations, resulting in lower positioning accuracy. Aimed at this problem and introducing Bregman divergence, we propose in this paper a novel WSN localization algorithm via matrix completion (LBDMC). Based on the natural low-rank character of the Euclidean Distance Matrix (EDM), the problem of EDM recovery is formulated as an issue of matrix completion in a noisy environment. A regularized matrix completion model is established, smoothing the pulse noise by leveraging L 1 , 2 -norm and the multivariate function Bregman divergence is defined to solve the model to obtain the EDM estimator. Furthermore, node localization is available based on the multi-dimensional scaling (MDS) method. Multi-faceted comparison experiments with existing algorithms, under a variety of noise conditions, demonstrate the superiority of LBDMC to other algorithms regarding positioning accuracy and robustness, while ensuring high efficiency. Notably, the mean localization error of LBDMC is about ten times smaller than that of other algorithms when the sampling rate reaches a certain level, such as >30%.