The train plug door is the only way for passengers getting on and off. Its failures will make operation ineffective. Taking developed digital signal processing technologies into consideration, a data-driven diagnosis method doors proposed based sound recognition. First, novel preprocessing empirical mode decomposition hybrid intrinsic functions (IMFs) selection criterion proposed. selected significant IMFs are used to reconstruct signals. Inspired by idea of fractional calculus, entropy...

Conventionally, the transition probabilities in interacting multiple model (IMM) are often fixed based on prior information. However, this conservative setting may result inaccurate state estimations. To solve problem, a Bayesian-based online correction function is proposed paper, which can adaptively adjust probabilities. deal with response lag and short-term peak estimation error problem during respond to jump, jumping threshold defined, so that current information of models be fully...

In order to control the nonlinear high-speed train with high robustness, fractional of switching systems is studied. The controller designed for a class by backstepping method. this paper, simple and effective online updating scheme model coefficients proposed using flexibility predictive algorithm its wide range accommodation. A stochastic discrete state space describing mechanical behavior single particle in constructed, maximum likelihood estimation parameters transformed into an...

Considering the advantages of contactless fault diagnosis, a novel sound based diagnosis method for railway point machines (RPMs) is proposed. Firstly, denoising on empirical mode decomposition (EMD) The useful intrinsic functions (IMFs) are selected using kurtosis and energy criteria to reconstruct denoised signal. Then, multi-scale fractional permutation entropy (MFPE) proposed inspired by calculus, which more powerful than classical (MPE). And two-scale algorithm developed avoid...

In rail transit systems, improving transportation efficiency has become a research hotspot. recent years, new method of train control system based on virtual coupling attracted the attention many scholars. Virtual coupled is typical nonlinear system. How to with high precision key realize safe and efficient operation train. Therefore, this paper proposes scheme local leader–follower method. On basis, controller artificial potential field variable parameter mixed applied carry out...

The federated learning (FL) method based on model aggregation can balance data and protect privacy, but the existing is difficult to achieve same effectiveness as centralized under sharing. In addition, it for realize real-time update of clients' network parameters, because inhibits optimal performance client. Therefore, this article proposes an asynchronous paradigm FL with identification client's parameters tackle shortcomings. First, we adopt linear fusion sequential filtering fuse center...

With the increasing demand for rail transit, wireless communication technologies are playing a growing significant role in train control systems, which enables railway systems to provide higher capacity and more efficient services. However, due nature of radio frequency propagation, quality train-to-ground connections is highly dependent on well-planned deployment wayside access points. To improve both accuracy efficiency network planning, this paper, deep learning technology exploited model...

As one of the most important railway signaling equipment, point machines undertake major task ensuring train operation safety. Thus fault diagnosis for becomes a hot topic. Considering advantage anti-interference characteristics vibration signals, this paper proposes an novel intelligent method based on signals. A feature extraction combining variational mode decomposition (VMD) and multiscale fluctuation-based dispersion entropy is developed, which verified more effective tool selection....

Trust evaluation is an effective method to detect malicious nodes and ensure security in wireless sensor networks (WSNs). In this paper, efficient dynamic trust model (DTEM) for WSNs proposed, which implements accurate, efficient, by dynamically adjusting the weights of direct indirect parameters update mechanism. To achieve accurate evaluation, calculated considering multitrust including communication trust, data energy with punishment factor regulating function. The evaluated conditionally...

In railway condition monitoring, feature classification is a very critical step, and the extracted features are used to classify types levels of faults. To achieve better accuracy efficiency in classification, must be properly selected. this paper, maximal information coefficient employed two different stages establish new selection method. By using proposed two-stage method, strong with low redundancy reserved as optimal subset, which results process having more moderate computational cost...

The safety computer in the train control system is designed to be double two-vote-two architecture. If safety-critical multi-input data are inconsistent, this may cause non-strict multi-sensor problems output. These kinds of directly affect decision making and even pose a serious threat safe operation train. In paper, that exist traditional computers analyzed. input classified based on features features. Then, modeled. Fuzzy theory used process avoid problems. fuzzy processing model added...

This paper investigates the problem of path following with prescribed performance for autonomous underwater vehicles subjects to unknown actuator dead-zone nonlinearity. To cope this practical abstracted from hydrodynamic noise measurement, an adaptive command filtered backstepping method compensation is proposed. By introducing a damped exponential barrier functions, new tracking errors are defined satisfy requirements. The control theoretically based on technique handling complexity...

Floor plan restoration aims to recover vector and semantic information from raster floor images, which is significant for advanced applications including interior design, interative walkthroughs, layout planning. Existing methods generally adopt a two-stage paradigm: parsing stage extract elements such as rooms, walls, doors, windows images; then vectorization convert them into graphics. However, these are deficient in both accuracy efficiency due the neglect of unique cues plans compared...

This study aims to explore the potential use of low-cost ultraviolet-visible-near infrared (UV-Vis-NIR) spectroscopy quantify adulteration content soybean, rapeseed, corn and peanut oils in Camellia oil. To attain this aim, test oil samples were firstly prepared with different adulterant ratios ranging from 1% 90% at varying intervals, their spectra collected by an in-house built experimental platform. Next, preprocessed using Savitzky–Golay (SG)–Continuous Wavelet Transform (CWT) feature...

In the railway transportation industry, fault diagnosis of point machines (RPMs) is vital. Because operational vibration signals can reflect condition various faults in mechanical devices, sensing and monitoring more importantly, signal-based for RPMs have attracted attention scholars engineers. Most fault-diagnosis methods rely on data collected using high-sampling-rate sensors manual feature extraction, hence are costly insufficiently robust. To overcome these shortcomings, we propose a...

The bearing is the key component of rotating mechanical equipment, so fault diagnosis bearings important to improve reliability and safety equipment operation. In recent years, feature fusion method has been extensively explored in health monitoring bearings. However, almost all existing feature-fusion-based methods extract features from different signals independently concatenating them simply. It will lead failure achieving expected diagnostic accuracy because complementary information not...

A parallel multipopulation genetic algorithm (PMPGA) is proposed to optimize the train control strategy, which reduces energy consumption at a specified running time. The paper considered not only consumption, but also time, security, and riding comfort. Also an actual railway line (Beijing-Shanghai High-Speed Railway) parameter including slop, tunnel, curve was applied for simulation. Train traction property braking explored detailed ensure accuracy of running. PMPGA compared with standard...