Safety of electronic and computer systems largely depend on their failure-free operation time ("lifetime" (LT)). The problem of predicting the degradation rate of technical system characteristics ("serv...
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ISBN:
(纸本)9783031769337
Safety of electronic and computer systems largely depend on their failure-free operation time ("lifetime" (LT)). The problem of predicting the degradation rate of technical system characteristics ("service life") which determines LT, is often solved within the accelerated testing (AT) paradigm. However, it has its own specifics for prototypes of devices produced at the early stages of development work, when, having only a small number of device copies, it is necessary to estimate their potential service life (LT), if this characteristic is decisive for assessing the feasibility of continuing the development. This may concern both technical devices (and elements of "Cyber-physical systems", in particular) and software products, for example, machine learning (ML) systems under development. This paper analyzes the extent to which state-of-the-art of machine learning (ML), as well as such specialized LT assessment models as selective censoring, Survival Analysis (SA), Extreme Value theory (EVT), allow obtaining service life forecasts for designed devices under real operating conditions at the early stages of development/design. The difficulties of solving the maintenance forecasting problem using traditional machine learning software tools are analyzed, and a heuristic method for solving the maintenance forecasting problem under given conditions is considered and proposed. It is noted that the problems under consideration have a similar fundamental nature for a wide variety of applications of electronic and computer technology, for which it is necessary to estimate the rate of degradation of efficiency. Examples will be given both from the modern practice of computer networks and from the practice of developing modern solar electric cells (SEC) of autonomous power supply, the lifetime of which is one of the factors of safe operation of various systems. At the same time, a common property of time series representing the efficiency of these systems in certain terms is, in
XX-1 satellite is a micro-nano satellite with low control system redundancy, equipped with only one set of three-axis gyroscopes. How to achieve attitude control during satellite failures has become an important issue...
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This work describes automatization of creation process of automatic control systems. This needs not only for faster construction of control systems, but also to attract the machine to the solving the control problems,...
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Nitrogen removal from domestic sewage is usually limited by insufficient carbon source and electron *** economical solid carbon source was developed by composition of polyvinyl alcohol,sodium alginate,and corncob,whic...
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Nitrogen removal from domestic sewage is usually limited by insufficient carbon source and electron *** economical solid carbon source was developed by composition of polyvinyl alcohol,sodium alginate,and corncob,which was utilized as external carbon source in the anaerobic anoxic oxic(AAO)-biofilter for the treatment of low carbon-to-nitrogen ratio domestic sewage,and the nitrogen removal was remarkably improved from 63.2%to 96.5%.Furthermore,the effluent chemical oxygen demand maintained at 35 mg/L or even lower,and the total nitrogenwas reduced to less than 2mg/*** analysis demonstrated that the microbial communities responsible for potential denitrification and organic matter degradation in both AAO and the biofilter reactors were mainly composed of Proteobacteria and Bacteroides,*** solid carbon source addition resulted in relatively high abundance of functional enzymes responsible for NO_(3)^(−)-N to NO_(2)^(−)-N con-version in both AAO and the biofilter reactors,thus enabled stable *** carbon source addition during glycolysis primarily led to the increase of genes associated with the metabolic conversion of fructose 1.6P2 to glycerol-3P The reactor maintained high abun-dance of genes related to the tricarboxylic acid cycle,and then guaranteed efficient carbon *** results indicate that the composite carbon source is feasible for denitri-fication enhancement of AAO-biofilter,which contribute to the theoretical foundation for practical nitrogen removal application.
Modern surface mount circuit board assemblies require more advanced defect detection methods. While deep learning algorithms have great potential for PCBA inspection, their detection accuracy in complex background sit...
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Here,we report the production of 3D-printed MoS_(2)/Ni electrodes(3D-MoS_(2)/Ni)with longterm stability and excellent performance by the selective laser melting(SLM)*** a cathode,the obtained 3D-MoS_(2)/Ni could maint...
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Here,we report the production of 3D-printed MoS_(2)/Ni electrodes(3D-MoS_(2)/Ni)with longterm stability and excellent performance by the selective laser melting(SLM)*** a cathode,the obtained 3D-MoS_(2)/Ni could maintain a degradation rate above 94.0%for forfenicol(FLO)when repeatedly used 50 times in *** also found that the removal rate of FLO by 3D-MoS_(2)/Ni was about 12 times higher than that of 3D-printed pure Ni(3D-Ni),attributed to the improved accessibility of H^(*).In addition,the electrochemical characterization results showed that the electrochemically active surface area of the 3D-MoS_(2)/Ni electrode is about 3-fold higher than that of the 3D-Ni electrode while the electrical resistance is 4 times *** on tert-butanol suppression,electron paramagnetic resonance and triple quadrupole mass spectrometer experiments,a“dual path”mechanism and possible degradation pathway for the dechlorination of FLO by 3D-MoS_(2)/Ni were ***,we also investigated the impacts of the cathode potential and the initial pH of the solution on the degradation of ***,this study reveals that the SLM 3D printing technique is a promising approach for the rapid fabrication of high-stability metal electrodes,which could have broad application in the control of water contaminants in the environmental field.
As one of the most important railway signaling equipment,railway point machines undertake the major task of ensuring train operation *** fault diagnosis for railway point machines becomes a hot *** the advantage of th...
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As one of the most important railway signaling equipment,railway point machines undertake the major task of ensuring train operation *** fault diagnosis for railway point machines becomes a hot *** the advantage of the anti-interference characteristics of vibration signals,this paper proposes an novel intelligent fault diagnosis method for railway point machines based on vibration signals.A feature extraction method combining variational mode decomposition(VMD) and multiscale fluctuation-based dispersion entropy is developed,which is verified a more effective tool for feature ***,a two-stage feature selection method based on Fisher discrimination and ReliefF is proposed,which is validated more powerful than single feature selection ***,support vector machine is utilized for fault *** comparisons show that the proposed method performs *** diagnosis accuracies of normal-reverse and reverse-normal switching processes reach 100% and 96.57% ***,it is a try to use new means for fault diagnosis on railway point machines,which can also provide references for similar fields.
We discuss physical phenomena in nonequilibrium gas flows where the classical Stokes and Fourier laws for stress and heat transfer are violated. Fundamental differences are revealed between the kinetic description and...
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To meet the growing demands in the electronics manufacturing industry for smaller, more reliable, and flexible component packages, this research introduces a novel algorithm designed to automatically measure the geome...
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After long-term operation,the performance of components in the GTCC system deteriorates and requires timely *** to the inability to directly measure the degree of component malfunction,it is necessary to use advanced ...
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After long-term operation,the performance of components in the GTCC system deteriorates and requires timely *** to the inability to directly measure the degree of component malfunction,it is necessary to use advanced exergy analysis diagnosis methods to characterize the components’health condition(degree of malfunction)through operation data of the GTCC *** dissipative temperature is used to describe the degree of malfunction of different components in the GTCC system,and an advanced exergy analysis diagnostic method is used to establish a database of overall operating condition component malfunctions in theGTCC *** software is used to simulate the critical parameters of the malfunctions of the GTCC system components and to obtain the changes in the dissipative temperature of different ***,the fuel consumption and economic changes of the GTCC system on a characteristic power supply day under health and malfunction conditions are ***,the effects of maintenance costs,electricity,and gas prices on maintenance expenses and profits are *** results show that the GTCC system maintenance profit is 6.07$/MWh,while the GTCC system maintenance expense is 5.83$/*** with the planned maintenancemode,the malfunction maintenance mode saves 0.24$/***,the maintenance coefficient of GTCC should be adjusted under different malfunctions to obtain a more accurate maintenance period.
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