Artificial intelligence implementation in the APS process diagnostic

Thermal spray process is a technique of coating manufacturing implementing a wide variety of materials and processes. This technique is characterized by up to 150 processing parameters influencing the coating properties. The control of the coating quality is needed through the consideration of a robust methodology that takes into account the parameter interdependencies, the process variability and offers the ability to quantify the processing parameter-process response relationships. The aim of this work is to introduce a new approach based on artificial intelligence responding to these requirements. A detailed procedure is presented considering an artificial neural network (ANN) structure which encodes implicitly the physical phenomena governing the process. The implementation of such a structure was coupled to experimental results of an optic sensor controlling the powder particle fusion state before the coating formation. The optimization steps were discussed and the predicted results were compared to the experimental ones allowing the identification of the control factors.     

使用表达式分析的通用故障诊断系统设计与实现

基于知识的故障诊断专家系统在应用时面临知识获取、知识表达和知识与诊断推理有机融合等几方面的困难。本文论述了一种使用表达式解析的故障诊断方法,并将其用于某型雷达系统的故障诊断保障系统中。该方法将知识表示为逻辑表达式,推理机使用表达式解析的方法推理知识。使用该方法,知识的获取和更新更加方便,并且推理机和表达式相互独立,具有相当的通用性。     

牙鲆淋巴囊肿病的PCR诊断方法研究

以中国养殖牙鲆 (Paralichthysolivaceus)淋巴囊肿病毒 (Lymphocystisdiseasevirus,LCDVcn)主要衣壳蛋白 (majorcapsidprotein ,MCP)基因的中间保守序列为目标基因 ,设计了一对特异性引物。该引物可扩增出 172bp的病毒DNA片段 ,其最小DNA检出量为 0 0 183ng。用PCR法从人工感染淋巴囊肿病毒 3天的牙鲆血、鳃、肝、脾、肠、胃及自然发病牙鲆的肿瘤中 ,分别检测到了LCDV的存在。本实验结果证明 ,PCR法对于早期检测LCDV是十分有效的。     

A systematic approach to analysing errors of commission from diagnosis failure in accident progression

The accident scenarios of a nuclear power plant are composed of an initiating event (IE), additional events/failures and human inappropriate actions, the combinations of which lead to irreversible consequences. In such a dynamic situation, operators should diagnose the occurring events/failures (including an initiating event and additional events) and assess the related situations utilising the available resources such as operating procedures or human–machine systems to control and maintain the plant in a stable condition. The misdiagnosis or diagnosis failure of the occurring events could cause critical human inappropriate actions that aggravate the plant condition, which is termed as errors of commission (EOCs). This paper presents a methodology for analysing the potential for diagnosis failure of the initiating and additional events and the consequent EOC events, based on the operating procedures, in the accident scenarios of nuclear power plants. The method to be presented categorizes the diagnostic situations in the accident scenarios into three cases according to the structure of the emergency operating procedures (EOPs) and the time of the occurring events: (1) the diagnosis of an initiating event, (2) the diagnosis of both an initiating event and an additional event when an additional event occurs prior to the performance of the diagnosis procedure, and (3) the diagnosis of an additional event when an additional events occurs after the performance of the diagnosis procedure. The application of the method is illustrated through three case example scenarios: (1) the power-operated relief valve (PORV) or the pressurizer safety valve (PSV) LOCA, (2) the loss of all feedwater (LOAF) event (loss of main feedwater*loss of auxiliary feedwater), (3) the sequence of<the station blackout (SBO)*loss of turbine-driven (or diesel-driven) auxiliary feedwater*PSV stuck-open*recovery of AC power>.     

The Analysis of Closed-Loop Dynamic-Stochastic Systems

Certain types of non-linear transformations of stochastic signal processes have proven useful in engineering applications. A form of processing called hard clipping (or hard limiting) has frequently been used in electronic systems which work in “real time” in order to reduce the number of information bits which the system has to process. With hard clipping only one binary digit is used per sample value of an input signal X(t). However, information is lost about X(t) and the spectrum which is calculated from the clipped signal is a distorted form of the original signal spectrum. By a sine transformation of the sample covariance of the clipped process, a consistent estimator is derived for the spectral density of X(t). The asymptotic variance-covariance function is calculated for this estimator.     

Sample size bounding and context ranking as approaches to the HRA data problem

This paper presents a technique denoted as sub sample size bounding (SSSB) useable for the statistical derivation of context-specific probabilities from data available in existing reports on operating experience. Applications for human reliability analysis (HRA) are emphasized in the presentation of the technique. Exemplified by a sample of 180 abnormal event sequences, it is outlined how SSSB can provide viable input for the quantification of errors of commission (EOCs).     

Systematic Evaluation of One-Dimensional Unsteady Friction Models in Simple Pipelines

In this paper, basic unsteady flow types and transient event types are categorized, and then unsteady friction models are tested for each type of transient event. One important feature of any unsteady friction model is its ability to correctly model frictional dissipation in unsteady flow conditions under a wide a range of possible transient event types. This is of importance to the simulation of transients in pipe networks or pipelines with various devices in which a complex series of unsteady flow types are common. Two common one-dimensional unsteady friction models are considered, namely, the constant coefficient instantaneous acceleration-based model and the convolution-based model. The modified instantaneous acceleration-based model, although an improvement, is shown to fail for certain transient event types. Additionally, numerical errors arising from the approximate implementation of the instantaneous acceleration-based model are determined, suggesting some previous good fits with experimental data are due to numerical error rather than the unsteady friction model. The convolution-based model is successful for all transient event types. Both approaches are tested against experimental data from a laboratory pipeline.     

18F-FDGPETCT显像在难确诊性鼻咽癌中的临床价值

目的:探讨18F-FDGPETCT显像在难确诊性鼻咽癌中的临床应用价值.方法:回顾性分析2020年3月-2021年2月我院临床高度怀疑鼻咽癌的60例患者,首次或多次行鼻咽镜病理活检阴性,行常规18F-FDGPET/CT检查,根据PET/CT结果引导再次行鼻咽镜病理活检.将上述患者分为两组,以最终病理结果为金标准,分为阳...     

Concordance between the SOGS-RA and the DSM-IV criteria for pathological gambling among youth.

This study assessed the possible differences in the classification of adolescent gamblers when using the South Oaks Gambling Screen-Revised for Adolescents (SOGS-RA; K. C. Winters, R. D. Stinchfield, & J. Fulkerson, 1993) versus a clinical interview that was based on Diagnostic and Statistical Manual of Mental Disorders (DSM-IV; American Psychiatric Association, 1994) criteria for pathological gambling. A total of 631 adolescents ages 15-17 years participated in the two phases of the study. Results revealed that of the 93 adolescents who had been screened as problem gamblers according to the SOGS-RA, only 7 could be clinically confirmed as pathological gamblers according to the criteria used at present to define pathological gambling. The need to clarify the construct of pathological gambling among youth is discussed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Identifying persistently antisocial offenders using the Hare Psychopathy Checklist and DSM antisocial personality disorder criteria.

Early starting, lifetime criminal persistence has been called sociopathy, antisocial personality disorder, and psychopathy. There is, however, disagreement about its core features and which measure is best for identifying such individuals. In the 1st of 2 studies of male offenders (n = 74), we found a large association between scores on the Psychopathy Checklist-Revised (PCL-R; R. D. Hare, 1991) and the Diagnostic and Statistical Manual of Mental Disorders (4th ed. [DSM-IV; American Psychiatric Association, 1994) antisocial personality disorder criteria scored as a scale. The second study (n = 684) replicated this finding and found that, as previously shown for PCL-R scores, a discrete class (or taxon) also underlies scores on items reflecting antisocial personality disorder. The high association among these sets of items and their similarity in predicting violence suggested that the same natural class underlies each. Results indicated that life-course-persistent antisociality can be assessed well by measures of psychopathy and antisocial personality disorder. (PsycINFO Database Record (c) 2010 APA, all rights reserved)