This study is concerned with the unified analytical solution of rotor strength for segmented permanent magnet (PM) retained by carbon‐fibre sleeve and non‐magnetic alloy in high‐speed surface‐mounted synchronous machine. Considering influence different densities coefficients thermal expansion PMs pole fillers on stress, was proposed based displacement method stress potential polar coordinate. The validated finite‐element (FEM) experiment, respectively, influences rotational speed, retaining...

Abstract Data-driven deep learning methods have been widely used in the fault diagnosis of rolling bearings, while general network structures are complex with numerous parameters and computationally intensive calculations, leading to limited real-time performance delayed detection. To address these challenges, this paper presents a novel hybrid framework, termed FKP-SGECNN, for efficient accurate bearing identification. The proposed framework combines strengths kernel principal component...

Sustainable architectural education is offered in colleges and universities all over the world. Studies have emphasized importance of sustainable introductory courses architecture major programs, but methods strategies for teaching at lower levels are scarce. This study focuses on design-to-physical-construction process creates a framework that incorporates concept development from perspectives economy, environment society. Based method learning through referring to grounded theory, case...

In an effort to address the load adjustment time in thermal and electrical distribution of power plant units, we propose optimal method based on prediction among multiple units plants. The proposed utilizes optimization by attention fine-tune a deep convolutional long-short-term memory network (CNN-LSTM-A) model for accurately predicting heat supply two 30 MW extraction back pressure units. First, inherent relationship between unit parameters is qualitatively analyzed, influencing factors...

The poor heat transfer performance of LiBr solution is one the main obstacles to improving absorption cooling systems. In this study, combined effects enhancement and pressure loss increment solution-based nanofluids in plate exchangers are investigated theoretically. First, a correlation for predicting Nusselt number chevron exchanger with different angles developed based on experimental data, prediction error range of−3.8% 6.0%. Second, coefficients friction factors Al2O3 nanofluid MWCNT...

The mechanism of performance degradation a natural gas combined cycle power plant under high ambient temperature is studied by analysing the characteristics and thermal properties working fluids. Real operating data typical seasonal conditions are collected studied. results reveal that output system decreases 22.6%, energy efficiency from 57.28-56.3% when increases 5-35?C. Gas turbine total steam decrease 17.0% 16.2%, respectively, as enthalpy difference flue between inlet outlet change...

To fully utilize the scarce spectrum resources, downlink device-to-device (D2D) underlaid multigroup multicast cell-free massive multi-input multi-output (MIMO) systems is proposed, where geographically distributed access points (APs) serving both multi-antenna users (CFUEs) and D2D (DUEs) pair over same time/frequency resource blocks. Specially, low-resolution analog-to-digital converters/digital-to-analog converters (ADCs/DACs) are adopted at AP to effectively reduce hardware damage energy...

This study develops an intelligent data-driven approach for optimising slag grinding systems. Slag exhibits complex nonlinear dynamics that challenge control. The proposed system monitors key operating parameters to assess machine health and automate control adjustments. Operating data are collected, features linked status identified using mining techniques. Cluster analysis categorises historical into healthy/unhealthy modes build a condition library. Real-time then evaluated against this A...

Although combined cycle gas turbine (CCGT) has been utilized and studied intensively, little attention was paid on optimizing its shutdown process. Under limited residual natural gas, the optimization of process CCGT becomes a problem needed to be solved, no research conducted solving this particular problem. In study, overall performance characteristics were analyzed modeled. This model proposed allocate consumption during for creating maximum power generation economic benefit. Based model,...

It is difficult to effectively control the vertical grinding process of raw materials due its characteristics strong coupling, non-linearity and large hysteresis.This paper proposes a mill intelligent system based on data mining predict operating conditions slag system.Taken into consideration corresponding shortcomings each algorithm, we combine several algorithms propose feature extraction method for analyzing determining indicators that affect operation.Next, clustered healthy get...

Modeling the penetration process in soft tissue simulant is basis for evaluating damaging efficiency of projectiles. To investigate dynamics fragments gelatin, this paper presented a model describing both resistance and temporary cavity dynamics. The modeling was set up using law energy conversion conservation. equations movement penetrator target medium are closely combined through sharing same parameters. Penetration experiments were conducted two different shapes: cylinder rhombus. By...