A novel PEM fuel cell remaining useful life prediction method based on singular spectrum analysis and deep Gaussian processes

Accurate remaining useful life (RUL) prediction of proton exchange membrane fuel cells (PEMFCs) can assess the reliability of fuel cells to determine the occurrence of failures and mitigate their operational risk. However, is it quite challenging to design a high-precision prediction method because the implicit degradation details of PEMFCs are difficult to learn well from the measurement data with high-frequency noise. Recognizing this, a novel RUL prediction method based on singular spectrum analysis (SSA) and deep Gaussian process (DGP) is proposed in this paper. The SSA-based method is firstly employed to preprocess the measurement data, which can strengthen the effective information of PEMFC degradation data at the same time remove the noise and spikes that interfere with degradation prediction. As a deep structural model, DGP has strong feature learning ability which can represent the nonlinear details of degradation data and give more accurate prediction results. At the same time, it serves as a probabilistic model that can provide the confidence interval to enhance reliability of RUL prediction. The effectiveness of the proposed method is evaluated by experimental data of the PEMFCs under steady-state conditions, and the results show that the SSA-DGP method has higher accuracy and reliability than conventional methods.     

Improved properties of scandia and yttria co-doped zirconia as a potential thermal barrier material for high temperature applications

Due to the limited temperature capability of current YSZ thermal barrier coating (TBC) material, considerable effort has been expended world-wide to research new candidates for TBC applications above 1200?°C. Our study suggested that Sc₂O₃ and Y₂O₃ co-doped ZrO₂ (ScYSZ) had excellent t’ phase stability even after annealed at 1500?°C for 336?h. The thermal expansion coefficient of ScYSZ was comparable to the value of YSZ. The thermal conductivity of fully dense ScYSZ was in the range of 2.13–1.91?W?m^?1?K^?1 (25–1300?°C), approximately 25% lower than that of YSZ. Although the fracture toughness of dense ScYSZ was slightly lower than YSZ, an evident decline in elastic modulus was found. Additionally, thermal cycling lifetime of plasma sprayed ScYSZ coating (914 cycles) at 1300?°C was about 2.6 times longer than its YSZ counterpart. The superior comprehensive properties confirm that ScYSZ is a prospective candidate material for high-temperature TBC application.     

基于Bootstrap方法的密封寿命可靠性评估

针对高可靠、长寿命密封件在小样本试验下的可靠性寿命评估需求,提出一种基于虚拟增广样本和Bootstrap方法的密封寿命小样本数据可靠性评估方法。并以轴用阶梯圈为例,进行寿命可靠性评估。首先通过虚拟增广法将轴用阶梯圈台架寿命试验数据样本数增广至10个,使得样本数满足Bootstrap方法的适用条件;然后再利用Bootstrap方法得到轴用阶梯圈的寿命可靠性评估结果。     

抄浆压包机控制方式和应用

介绍了压包机的工作原理、控制方式、逻辑联锁、液压系统以及压包机常见的故障和维修保养等。     

综采工作面设备快速回撤工艺探讨

神东煤炭集团柳塔煤矿12123综采工作面回采结束后,实际只用9天时间就完成设备快速回撤工作;本文以12123综采工作面设备回撤为实例,探讨了综采工作面设备回撤新工艺;该工艺可以在其他煤矿进行推广,有较强的应用前景。     

运行压力对超声雾化溶液除湿系统性能的影响

基于溶液除湿热质传递过程中所遵循的质量平衡、能量平衡模型，以超声雾化溶液除湿系统（UADS）为例，探讨了在不同空气处理温度、湿度下，系统运行压力对除湿性能的影响。结果表明：随着运行压力的升高，UADS系统的除湿性能显著改善。特别是在所处理空气入口温度较高时，提升系统运行压力对除湿效率的提高作用更加显著。同时，当所处理空气的含湿量较大时，提高运行压力对系统除湿速率的增幅明显，而对除湿效率的改善作用减弱。此外，当除湿系统在较高压力下运行时，其除湿效率受所处理空气入口温湿度变化而产生的波动减小，系统性能稳定性显著改善。所得结果可对溶液除湿系统的高效、稳定运行提供积极参考。     

脉冲电磁处理参数对YT15硬质合金服役寿命的影响

采用COMSOL Multiphysics有限元分析软件对脉冲电磁处理设备进行仿真建模,利用正交试验的方法研究了磁通密度、磁脉冲个数、脉冲电压、电脉冲组数对YT15硬质合金刀具服役寿命的影响规律。通过极差分析得到了各因素的影响主次关系以及最佳脉冲电磁处理参数,并分析了切削过程的主切削力及磨损量变化,结果表明:脉冲电磁处理可使YT15硬质合金刀具服役寿命增长57.2%;最佳的处理参数组合为磁通密度2T,磁脉冲个数10,脉冲电压0.8V,电脉冲组数20;磁通密度和磁脉冲个数对其寿命影响较大,脉冲电压和电脉冲组数影响较弱;脉冲电磁处理后的刀具切削力较未处理有所降低,后刀面磨损速度明显减缓。     

黄白茨煤矿021205工作面下向钻孔瓦斯抽采效果

为了考察黄白茨煤矿021205工作面下向钻孔抽采效果,从钻孔施工工艺、封孔工艺以及钻孔长度等方面考虑,选取021203工作面里段施工的上向钻孔抽采瓦斯效果作为参考。本文通过测定、收集、整理、分析021205工作面和021203工作面的瓦斯抽采数据,并得出021205工作面下向钻孔比021203工作面上向钻孔瓦斯抽采浓度衰减快,且衰减幅度大,021203工作面上向钻孔抽采效果优于021205工作面下向钻孔,并得出下向和上向钻孔瓦斯抽采浓度、流量等数据随时间变化的规律。     

综放工作面防治水技术应用实践

为解决21000工作面采空区及顶板涌水问题,根据工作面出水点的不同情况,采取了集水器导水、老塘设挡水堰截水、挖排水沟疏水等多项治水措施,经统计排水量达33~42m3/h,有效控制了水情,确保了工作面正常生产。     

Generating synthetic benchmark circuits for accelerated life testing of field programmable gate arrays using genetic algorithm and particle swarm optimization

Accelerated life testing (ALT) of a field programmable gate array (FPGA) requires it to be configured with a circuit that satisfies multiple criteria. Hand-crafting such a circuit is a herculean task as many components of the criteria are orthogonal to each other demanding a complex multivariate optimization. This paper presents an evolutionary algorithm aided by particle swarm optimization methodology to generate synthetic benchmark circuits (SBC) that can be used for ALT of FPGAs. The proposed algorithm was used to generate a SBC for ALT of a commercial FPGA. The generated SBC when compared with a hand-crafted one, demonstrated to be more suitable for ALT, measured in terms of meeting the multiple criteria. The SBC generated by the proposed technique utilizes 8.37% more resources; operates at a maximum frequency which is 40% higher; and has 7.75% higher switching activity than the hand-crafted one reported in the literature. The hand-crafted circuit is very specific to the particular device of that family of FPGAs, whereas the proposed algorithm is device-independent. In addition, it took several man months to hand-craft the SBC, whereas the proposed algorithm took less than half-a-day.