临涣选煤厂粗煤泥回收工艺优化的实践应用

临涣选煤厂针对洗选过程中存在的精煤泥旋流器组溢流跑粗、精煤泥弧形筛筛下水跑粗、精煤泥弧形筛脱水效果较差等问题，重点开展精煤泥分级旋流器组入料分配不均匀、筛分错配物影响、弧形筛脱水效果的现场攻关和研究。现场大量试验表明:通过停止精煤泥旋流器组，增加精煤泥弧形筛数量、减小筛缝尺寸，改变精煤泥弧形筛击打，改用高频脱水筛等方式，从源头上解决了精煤泥分级旋流器组跑粗，明显改善了精煤泥弧形筛筛下水跑粗的问题，提高了精煤泥弧形筛分选效果。在降低介泥灰分、减少浮选过程中粗颗粒的含量、缓解浮选回收压力、降低降低浮选油耗、提高浮选精煤灰分、保证精煤产率、节约生产成本方面有实践意义。     

大柳塔煤矿五盘区5-2煤层DDF2断层特征

大柳塔煤矿五盘区5-2煤层在三维地震资料解释中发现存在一条影响较大、伸展较远的断层（DDF2断层）横切5-2煤层。综合研究表明，DDF2断层为走向为东南—西北方向（111°～291°）、倾向为西南方向（201°）的高角度正断层。该断层为坳陷盆地形成后控制部分煤层沉积:在D306钻孔和D307钻孔所在区域形成时间较早，形成于5-2煤层沉积之后，结束于4-3煤层形成之后，控制5-2煤与4-3煤之间的地层沉积，为同沉积断层；该断层在D304钻孔和D305钻孔所在区域形成时间较晚，形成于4-2煤层沉积之后，结束于3-1煤层形成之后，局部控制4-2煤层与3-1煤层之间沉积，为准同生沉积断层。DDF2断层形成于东南方向，逐渐向西北方向迁移、加剧到最后尖灭。     

改进ILoG算子的故障检测方法

针对强背景噪声干扰下轮对轴承故障特征微弱、难以准确检测的问题,提出了一种自适应改进高斯拉普拉斯(improved Laplacian of Gaussian,简称ILoG)算子的微弱故障检测方法。ILoG算子滤波器具有优良的信号突变特征检测能力,将其用于轮对轴承故障信号的冲击特征检测,同时利用水循环算法(water cycle algorithm,简称WCA)的寻优特性,并行搜寻筛选最佳的ILoG算子影响参数,通过对参数优化后ILoG算子滤波后信号做进一步包络解调分析,提取出轮对轴承微弱的故障特征信息。对实际轮对轴承外圈和内圈故障信号分析的结果表明,该方法可以有效检测出轴承微弱故障特征频率,故障检测效果优于小波阈值和多尺度形态学差值滤波方法。     

Self-Adaptive Control System for Additive Manufacturing Using Double Electrode Micro Plasma Arc Welding

Wire arc additive manufacturing(WAAM)has been investigated to deposit large-scale metal parts due to its high deposition efficiency and low material cost.However,in the process of automatically manufacturing the high-quality metal parts by WAAM,several problems about the heat build-up,the deposit-path optimization,and the stability of the process parameters need to be well addressed.To overcome these issues,a new WAAM method based on the double electrode micro plasma arc welding(DE-MPAW)was designed.The circuit principles of different metal-transfer models in the DE-MPAW deposition process were analyzed theoretically.The effects between the parameters,wire feed rate and torch stand-off distance,in the process of WAAM were investigated experimentally.In addition,a real-time DE-MPAW control system was developed to optimize and stabilize the deposition process by self-adaptively changing the wire feed rate and torch stand-off distance.Finally,a series of tests were performed to evaluate the con-trol system's performance.The results show that the capability against interferences in the process of WAAM has been enhanced by this self-adaptive adjustment system.Further,the deposition paths about the metal part's layer heights in WAAM are simplified.Finally,the appearance of the WAAM-deposited metal layers is also improved with the use of the control system.     

某型燃机支承环故障诊断分析及改进措施

针对某型燃气轮机支承环在试验过程中发生断裂、掉块故障，分别进行了强度计算、振动模态分析、低循环疲劳寿命分析以及断口分析。综合分析结果表明：支承环故障属于高低周复合疲劳；焊缝和螺纹处应力集中导致应力过大而开裂；采取把周向焊缝取消，将月牙板和罩壳一体设计及降低应力集中等措施，排除故障。     

Adaptive actuator failure compensation for cooperative robotic manipulators with parameter uncertainties

This article develops a new framework of adaptive actuator failure compensation control for cooperative manipulator systems with parameter uncertainties in addition to actuator failures, and designs and analyzes effective actuator failure compensation schemes for such robotic systems. The new adaptive control design uses an integration of multiple individual failure compensators and direct adaptation to handle various types of uncertainties in such robotic systems. The design can also be used for concurrent actuator failure cases, to expand the capability of adaptive actuator failure compensation. With a complete proof and performance analysis, it is shown that the proposed control scheme guarantees the desired closed-loop stability and asymptotic output tracking, despite actuator failures whose patterns, time instants and values are all unknown. Simulation results of a benchmark cooperative manipulator system are presented to verify the desired control performance of the system with both typical constant and square-wave actuator failure signals.     

Experimental investigation on the cracking of pre-combustion cracking gas with gliding arc discharge plasma

To improve the quality of pre-combustion cracking gas, the gliding arc discharge plasma is adopted in this paper. The influence of incoming flow rate, electrode gap distance and discharge frequency on cracking effect have been experimentally studied. The results show that through plasma cracking, the concentration of H₂ increases while the concentration of CH₄ and C₂H₄ decrease. With different fuel ratio conditions, the variation trend of C/H ratio as well as the mass flow of carbon and hydrogen atoms in the cracking products vary from each other. The cracking effect becomes weaker with the increase of incoming flow rate, while is better when the fuel ratio is larger. Given the flow rate of 18slpm and 24slpm, the best cracking effect can be acquired with the electrode gap of 1.5 mm. Besides, the effect of gliding arc discharge plasma cracking is weakened as the discharge frequency rises.     

Study of the refractory used in a submerged arc furnace in the copper-making industry

A cost driver in the copper-making industry is the periodical relining of the furnaces because of wear. This paper presents thermochemical calculations (using the FactSage^™ database) focused on the evaluation of the slag-refractory chemical interaction in a submerged arc furnace (SAF) used for slag-cleaning operations. This evaluation was made under different conditions: slag-refractory volume ratio, oxygen partial pressure, and different types of slag. The new phases formed as a consequence of the slag-refractory chemical interaction were identified and quantified. To support the theoretical calculations based on thermochemistry, a postmortem study was carried out on a SAF used at the Atlantic Copper Smelter (Spain) after a 6-year campaign (4.5 mill. t. slag processed). Refractory samples were taken from different locations on the wall and analyzed using a scanning electron microscope equipped with an Energy Dispersive Spectroscopy system.     

综合改进奇异谱分解和奇异值分解的齿轮故障特征提取方法

针对齿轮故障特征微弱，在强背景噪声下难以有效提取的问题，提出了一种改进奇异谱分解（ISSD）结合奇异值分解（SVD）的齿轮故障特征提取方法。针对奇异谱分解（SSD）算法中模态参数需凭经验选取的缺陷，基于散布熵优化算法对SSD算法进行了改进，在得到既定的一组奇异谱分量的基础上，根据峭度值最大准则筛选出了最佳奇异谱分量并进行了SVD处理，采用奇异值能量标准谱自适应地确定了信号重构阶数以还原信号和提高降噪效果。最后对信号进行包络解调以提取齿轮故障特征，将所提方法运用到仿真信号和齿轮实测信号中，并同传统包络谱、SSD包络谱以及经验模态分解结合SVD(EMD-SVD)方法进行了对比分析，结果表明，所提方法的降噪和特征提取效果更佳，能够更加有效地实现齿轮故障的判别。     

Simplified automatic fault detection in wind turbine induction generators

This paper presents a simplified automated fault detection scheme for wind turbine induction generators with rotor electrical asymmetries. Fault indicators developed in previous works have made use of the presence of significant spectral peaks in the upper sidebands of the supply frequency harmonics; however, the specific location of these peaks may shift depending on the wind turbine speed. As wind turbines tend to operate under variable speed conditions, it may be difficult to predict where these fault‐related peaks will occur. To accommodate for variable speeds and resulting shifting frequency peak locations, previous works have introduced methods to identify or track the relevant frequencies, which necessitates an additional set of processing algorithms to locate these fault‐related peaks prior to any fault analysis. In this work, a simplified method is proposed to instead bypass the issue of variable speed (and shifting frequency peaks) by introducing a set of bandpass filters that encompass the ranges in which the peaks are expected to occur. These filters are designed to capture the fault‐related spectral information to train a classifier for automatic fault detection, regardless of the specific location of the peaks. Initial experimental results show that this approach is robust against variable speeds and further shows good generalizability in being able to detect faults at speeds and conditions that were not presented during training. After training and tuning the proposed fault detection system, the system was tested on “unseen” data and yielded a high classification accuracy of 97.4%, demonstrating the efficacy of the proposed approach.