In the real environment of industrial equipment, vibration signals essential components show deviations due to fault and noise. Notably, noise in signal will interfere with diagnosis process reduce accuracy diagnosis. Based on above problem, adaptive filtering (AF) is used as an excellent method attenuate without specifying type. However, how define most appropriate length type morphological filter element inherent problem which needs be solved first. This paper proposed a cooperative...

To solve the problem that bearing fault of variable working conditions is challenging to identify and classify in industrial field, this paper proposes a new method based on optimization multidimension energy characteristics integrates with an improved least-squares support vector machine (LSSVM). First, because traditional wavelet feature difficult effectively reflect rolling under different conditions, analyzing extraction detail, collaborative combined Transfer Component Analysis (TCA)...

Abstract In order to overcome the shortcomings of concealed early fault features rolling bearings which can not be better recognized and accuracy diagnosis is high enough, a novel collaborative method presented combing with variational modal decomposition (VMD) stochastic configuration network (SCN) for incipient faults bearing. First, decomposing original signal by VMD, then extracting peak‐to‐peak intrinsic mode function component from each fault, calculating sample entropy construct...

Smart film crack monitoring method, which can be used for detecting initiation, length, width, shape, location, and propagation of cracks on real bridges, is proposed. Firstly, the fabrication smart developed. Then feasibility method analyzed verified by mechanical sensing character under two conditions normal strain initiation. Meanwhile, coupling interference between parallel enameled wires discussed, then low‐frequency signal custom communication protocol are to decrease interference. On...

Abstract In the existing smart grid, wireless sensor networks are widely deployed to monitor entire grid’s status ensure safe, reliable, and efficient operation of grid. However, due storage mode infinite network perception data based on trusted central node in grid exists information security issues such as node’s vulnerability malicious attacks deliberate tampering. response these issues, this paper proposes a data-sharing model blockchain technology digital digest matching algorithm,...

System error registration is an important content of space-time registration, which the premise fusion multi-source measurement data. Aiming at complex electromagnetic environment interference, unrobustness traditional method was verified. A real-time median estimating algorithm slowly varying sequence based on sorting doubly linked list designed. On basis which, a robust system detection and estimation put forward. The proposed in this paper, application time-varying processing also...

With the continuous development of video surveillance in distribution station buildings, pressure safety risk prevention and control under massive data on edge has been increasing year by year. The traditional operation maintenance methods that heavily rely manual labor can no longer meet requirements lean management. article proposes an artificial intelligence based intelligent terminal application scheme for side rooms, which realizes on-site analysis images. Accurate identification...

A collective user web behavior simulation is an import means for generating a large-scale network in testbed or cyber range. Existing studies almost focus on individual analysis and prediction, which cannot simulate human dynamics that widely exist users’ behaviors. To address these issues, we propose novel method, algorithm constructing connected virtual social proposed, then designed the network. In new epidemic information dissemination based SIR model proposed to drive with Breadth—First...

It is difficult to select the parameters of least squares support vector machine (LSSVM) when studying classification algorithm, A particle swarm optimization algorithm based on crisscross inheritance method proposed find optimal LSSVM. Further, wavelet packet adopted process bearing signal and extract time-frequency domain features, which are used as input The model established applied identify fault bearing. Classification result shows accuracy improved, LSSVM optimized.

The multi-modal function optimization is an important problem with a wide-ranging application. In order to find out all optimal solutions and local as many possible, adaptive immune-based algorithm proposed based on analyzing the characteristics disadvantages of clonal selection algorithm, combining memory cells producing, network suppression valley searching method. Testing typical functions show this not only has less computational efforts better search capability, but also can realize...