Purpose This study aims to investigate the temperature rise characteristics of vibrating rolling bearings under influence polarization force unbalanced eccentric blocks. A thermal-fluid-solid mechanics coupled finite element model is established analyze effects different loads and rotational speeds on bearing prevent overheating, wear thermal damage. Design/methodology/approach developed based principles heat transfer. Finite analysis software used conduct numerical simulations distribution...

Purpose This study aims to analyze the frictional properties and temperature changes of carbon fibre reinforced silicon carbide composites (C/C-SiC) materials promote application C/C-SiC materials. Design/methodology/approach The coefficient friction (COF) pair composed were examined by a TM-I-type reduced-scale inertial braking dynamometer. thermo-mechanically coupled model is established brake disc using ADINA software. Findings average COF varies from 0.338 0.518 with change conditions....

Purpose This study aims to clarify the relationship of friction material type and brake disc temperature through braking experiment. Design/methodology/approach The performances resin materials (RM), semimetallic (SM) copper-based powder metallurgy (PM) blocks mating with forged steel were examined based on TM-I-type reduced-scale inertial dynamometer. surface was recorded by infrared thermal camera during braking. Findings Experimental results indicate that wear resistance three differs...

The internet of thing in environmental protection provide a full range monitor way to control environment from source. It becomes an important big data And how manage and apply is crucial problem. In this paper, we focus on the features, framework management IoT protection. outline characteristics, areas challenges application China.

It is a challenging task that enables performance isolation while providing guarantees among applications share storage infrastructure. This paper presents admission-control-based proportional allocation (APA), novel I/O request scheduler combines the admission control of worst-case resources reserved with to manage bandwidth for isolation. APA has three characteristics: 1) requests applications; 2) fairness idle resources; 3) monitoring and feedback-based weight adjustment. We implemented...

Accurate measurement of the mill level is a key factor to improve ball mill's productive efficiency, safety and economy. Aiming at solving critical problem soft sensor, feature extraction processing parameters, novel method based on Deep Belief Network (DBN) proposed. DBN one deep learning methods, which focuses hierarchical models data. In this paper, basic features, namely power spectrum density are obtained from vibration signal by Welch's firstly. Then built features learn high features....

Kinematic pairs clearance of cam mechanism has an important effect to system dynamics response Gatling gun. In order study effecting law driving gun's resistance moment and core's force, based on theory with clearance, through analyzing motion force drive mechanism, coupled equation is built by Dubowsky's impact model. It discussed the dynamic characteristics using ADAMS emulation analysis. The calculating result indicates that reasonably control factor reduce power loss resisting torque.

Absorbing the slab idea for memory management, this paper presents a novel technique disk storage management called allocator. A allocator doesnpsilat discard file layout during process of deleting files, but reuses free while creating, thereby both block allocation and release will be speeded up. The is cached-object as unit. It maintains blocks their relations. prototype system implemented based on Ext3 tests are also done. Measured performance results very promising. Compared with Ext3,...

With popularity of different kind search engines on WWW, it requires the backend storage system to provide better physical I/O performance speedup query service perceived by end users. However, existing general purpose designed replacement algorithm canpsilat performs well for web applications. This paper first studies access pattern various real-life workload and then propose a new RED-LRU based observed properties. The simulation results shows that our proposed uniformly outperform other...

The mainly traditional File Systems are constructed on single device where the metadata and data access interfere with each other which will lead to performance degradations. In this paper we propose a volume based mechanism in BWFS separate from into different devices by isolations both store location IO path. Test result has verified effectiveness of isolation. By separating high-performance storage, application bandwidth is promoted 2.6~2.8 times, meanwhile, OPS improved 2~5 times.

In order to meet the challenges of significant storage and application growth, as well shortened backup windows limited IT resources, more organizations embrace Hierarchical Storage Management (HSM). Parts SAN file systems provide ability support HSM, but they didn't details in design considerations how implement. this paper, we present Blue Whale File System (BWFS) which is a high performance system implement system. Event, migration attribute constitute three aspects data management...

The paper proposes a system that analyzes Bike Sharing Systems (BSS) in five cities of San Francisco Bay Area using Big Data technologies and investigates the current conditions future trends. This research provides analysis on number bikes docks available at each station, trips station trips, bike user type, demand, revenue trip-weather relation, all real time. Moreover, also predicts demand for particular time by four different regression algorithms. Hence, this study is relevant from both...

Purpose This study aims to analyze the temperature difference between aluminum-based brake disc (ABD) and cast steel (CSBD) for rail vehicles in braking process, which is related popularization use of ABD. Design/methodology/approach Two friction pairs composed ABD, CSBD copper-based powder metallurgy pad were studied this paper. The characteristics two compared by 1:1 test simulation calculation. Findings When speed 160–250 km/h pressure 18 29 kN, calculated maximum 574°C 681°C,...

Using different fast charging strategies for lithium-ion batteries can affect the degradation rate of batteries. In this case, predicting capacity fade curve facilitate application new Considering impact on battery aging, a trajectory prediction method based TM-Seq2Seq (Trend Matching—Sequence-to-Sequence) model is proposed. This uses data from first 100 cycles to predict future and EOL (end life) in one-time. First, features are extracted discharge voltage-capacity curve. Secondly,...

Existing decentralized learning of Generative Adversarial Network (GAN) suffers from a slower convergence rate and training instability due to the changes in gradient-sharing approach among workers. It requires more iterations achieve deteriorates GAN training, consequently leading slow down speed accuracy degradation. We propose JediGAN, novel distributed system that achieves optimal benefits by balancing communication overheads through adaptive scheduling strategies. JediGAN reduces...

In order to realize the rational delivery and effective dispatch of urban public self-vehicles, according randomness time-varying bicycle demand, a demand forecast based on random forest spatiotemporal clustering is proposed, this, user-based site rebalancing price incentive mechanism implemented. Combining bicycles with time factors, meteorological associated sites, other variables, using logarithmic optimization reduce impact outliers, establish regression model. Secondly, dynamic model...

This paper presents a Radial Basis Function (RBF) and Finite Element Method (FEM) hybrid approach to solve 3-D electromagnetic problem. The proposed method divides the entire computational domain into series of sub-domains. shape functions each sub-domain are obtained by point interpolat ion based on RBF improve fitting performance FEM. Each consists Galerkin FEM elements in domain. To validate method, case study is carried out dual-electrode DC arc furnace. results demonstrate that this...

Abstract Aiming at the problems of excessive risk factors and uncertainties in assessment, a assessment method based on factor analysis cloud model is proposed. Firstly, dimension reduction effect (FA) its implementation process are introduced to simplify indicators. Then, adopted replace membership function. A proposed, which solves problem fuzziness randomness Finally, effectiveness proposed verified by an example.

In order to predict the trend of water level in boiler drum advance and determine potential fault types that cause abnormalities level, A Random Forest model for Boiler Drum prediction diagnosis based on characteristic variable stagger method is proposed. Based dynamic characteristics lag time difference actual operating conditions identified, variables are found upward build a new sample set, regression constructed obtain predicted which brought into abnormal type. verify accuracy model, it...