Machine fault diagnosis with small sample based on variational information constrained generative adversarial network

In actual engineering scenarios, limited fault data leads to insufficient model training and over-fitting, which negatively affects the diagnostic performance of intelligent diagnostic models. To solve the problem, this paper proposes a variational information constrained generative adversarial network (VICGAN) for effective machine fault diagnosis. Firstly, by incorporating the encoder into the discriminator to map the deep features, an improved generative adversarial network with stronger data synthesis capability is established. Secondly, to promote the stable training of the model and guarantee better convergence, a variational information constraint technique is utilized, which constrains the input signals and deep features of the discriminator using the information bottleneck method. In addition, a representation matching module is added to impose restrictions on the generator, avoiding the mode collapse problem and boosting the sample diversity. Two rolling bearing datasets are utilized to verify the effectiveness and stability of the presented network, which demonstrates that the presented network has an admirable ability in processing fault diagnosis with few samples, and performs better than state-of-the-art approaches.     

严重突出煤层穿层钻孔“钻冲筛运”一体化瓦斯治理技术研究与应用

鹤煤公司八矿地质构造复杂、断层褶曲发育,尤其井田深部断层多,并且煤层透气性低且松软,打钻塌孔、喷孔严重,瓦斯抽放效果不好,给煤炭开采和瓦斯综合治理带来了困难。针对鹤煤公司八矿穿层钻孔瓦斯治理技术措施进行井下现场探索与研究,通过在3205底抽巷经过多次技术方案论证、实践,摸索出一套钻冲筛运一体化整套技术流程,并分析高压水力冲孔瓦斯涌出特征、有效影响半径。通过采用高压水力冲孔、振动筛选、转载装运,提高了水力冲孔效果和效率,改善了工作环境。     

Robust fault diagnosis and fault tolerant control for PEMFC system based on an augmented LPV observer

In order to improve the safety and reliability of proton exchange membrane fuel cell system, this paper proposes a novel robust fault observer for the fault diagnosis and reconstruction of the PEMFC air management system. First, considering the complexity and large computation of the nonlinear PEMFC system, a linear parameter-varying (LPV) model is introduced to describe the system behavior and reduce the computation cost. Then, an augmented state observer based on the LPV model is proposed for simultaneously estimating the internal states and component faults. The robustness is guaranteed by taking the system disturbances and measurement noises into consideration when designing the observer gain. The observer design is transformed into a process of solving a set of linear inequality matrices. According to the results, the augmented robust observer can accurately estimate the system states and faults under different conditions. Moreover, to realize the fault tolerant control of the air supply, the oxygen stoichiometry estimator is designed taking consideration of system fault information and a corresponding controller is employed for air compressor voltage following the net power maximization strategy.     

云冈矿8602工作面进回风巷贯通测量的研究

综合机械化掘进工艺工作面走向越长,贯通距离越长,误差积累越大。以云冈矿8602工作面进回风巷道为例,提出了降低贯通测量误差的技术措施,实践结果表明贯通巷道偏差符合要求,贯通闭合实测误差符合设计要求。     

石油化工企业仪表自动化设备的故障预防与维护措施

石油化工企业的机械设备有很多的控制仪表,这些仪表在石油化工企业的生产和工作中会起到很重要的作用,因此必须及时排除石油化工企业仪表和自动化设备的故障。     

Classification and regression models of audio and vibration signals for machine state monitoring in precision machining systems

We present a data-driven method for monitoring machine status in manufacturing processes. Audio and vibration data from precision machining are used for inference in two operating scenarios: (a) variable machine health states (anomaly detection); and (b) settings of machine operation (state estimation). Audio and vibration signals are first processed through Fast Fourier Transform and Principal Component Analysis to extract transformed and informative features. These features are then used in the training of classification and regression models for machine state monitoring. Specifically, three classifiers (K-nearest neighbors, convolutional neural networks and support vector machines) and two regressors (support vector regression and neural network regression) were explored, in terms of their accuracy in machine state prediction. It is shown that the audio and vibration signals are sufficiently rich in information about the machine that 100% state classification accuracy could be accomplished. Data fusion was also explored, showing overall superior accuracy of data-driven regression models.     

三明气象保障中心值班填报系统的设计与实现

为了简化三明市气象局保障中心值班员填报值班记录的过程,方便值班数据的查询和导出,推进三明市气象局的无纸化办公,减少纸质值班本的使用。本文根据值班内容需求使用易语言和MySQL数据库系统,设计开发了一套贴合保障中心值班流程的信息填报系统。通过不断测试和功能调整,该系统符合保障中心值班工作需求,并简化了工作流程。     

Fault detection in dynamic systems by a Fuzzy/Bayesian network formulation

In this paper the fault detection problem is solved using an alternative methodology based on a fuzzy/Bayesian strategy combining a Bayesian network and the fuzzy set theory. The new important issue in this proposed methodology is to address uncertainties in the input of the Bayesian Network. This contribution is possible since the fuzzy set theory is used as the knowledge representation. To illustrate the technique, the fault detection problem in induction machine stator-winding is considered. Specifically, the faults in the induction machine stator-winding are detected by a state change of stator current. Simulation results are presented to illustrate the advance of the proposed methodology when compared to standard Bayesian network.     

断层破碎带与采准巷道围岩作用机理模拟研究

断层破碎带经常引起金属矿山采准巷道的垮冒 ,对围岩的稳定性造成严重影响。为评价程潮铁矿断层破碎带对采准巷道的作用 ,在详细进行现场工程地质调查的基础上 ,采用数值模拟计算方法 ,模拟不同倾角、不同距离的断层破碎带与巷道围岩的相互作用过程 ,进行应力、位移和塑性区 3方面的对比分析。研究结果表明 ,对不同倾角的断层破碎带 ,位移变化最大的是 10°断层 ,断层破碎带离巷道越近 ,对围岩稳定的影响程度越大。     

立井煤与瓦斯突出危险性分析及防突措施

随着煤矿开采深度的增加，立井揭穿煤与瓦斯突出危险煤层的危险性日趋增大，因此解决这一问题成为深部立井施工的当务之急.采用FLAC软件模拟计算，得出了立井工作面附近的应力分布，与现场实测煤层瓦斯参数对比分析后，得出了立井工作面附近应力分布规律.分析了立井揭穿突出煤层的危险性，得到了在立井揭穿煤层过程中，穿过突出危险煤层时突出危险性最大的结论，并被几次立井煤与瓦斯突出案例所验证.设计了适合立井应力分布规律的揭穿突出危险煤层技术，其安全性和有效性被芦岭新副井揭穿8，9号突出危险煤层工程实践所证明.这对立井揭穿煤与瓦斯突出煤层具有较强的指导意义.