Dynamic testing and diagnostics of digitizing signal analyzers

Comparison of Two Different (Quasi-) Dynamic Testing Methods for the Performance Evaluation of a Linear Fresnel Process Heat Collector

Previous studies of operating performance of listed companies usually adopt static comprehensive evaluation method but not dynamic evaluation method. Besides, the evaluation information is aggregated in a simple weighted method, without integration of management tool. Considering these two deficiencies, this paper puts forward a dynamic incentive evaluation model and applies it in the comprehensive evaluation of the operating performance of listed companies. The paper first introduces dynamic incentive evaluation model, and then carries out an empirical study, using the annual reports data (2005-2009) of 13 refrigeration and air-conditioning industry listed companies. The results indicate that, compared with the evaluation results of traditional static method and dynamic method, the evaluation results of dynamic incentive model can reflect the operating performance of listed companies more objectively and comprehensively. Thus this model achieves good evaluation effect and has practical value.

Dynamic evaluation method of water-sealed gas for ultra-deep buried fractured tight gas reservoir in Kuqa Depression, Tarim Basin, China

Low back pain of caregiver has serious problem in welfare field. Transfer motion is thought as a cause of the low back pain, and it is necessary to reduce the lumbar burden. Also practical quantification method of lumbar burden is required strongly. This study aims to develop a practical and dynamic evaluation method of lumber burden by measuring surface muscle potential of the Erector spine muscle. This study delas with transfer motion and divide it into three motions, "lifting motion", "rotation a motion" and "unloading motion". Experiments have been conducted to show that "lifting motion" and "rotation a motion" can be evaluated by the surface muscle potential of the erector spine muscle by previous studies. This paper focuses on the "unloading motion" and, the relationship between the load and the "surface muscle potential of the erector spine muscle" is confirmed by experiments. It is also shown that the lumbar burden during "unload motion" is possible to be evaluated by using the surface muscle potential. In addition, this study evaluates, whether dynamic evaluation by using the proposed evaluation method is possible. Because caregivers are required to slow down during the "unoad motion", inertial force increass the load during decelerated motion. For an example, a dynamic evaluation in the case of deceleration during the "unloading motion" were confirmed by experiments. Conducting experiments, we found that the value of the potential of the surface of the erector spine was increased during slow down motion. This result indicates that the lumbar burden can be increased by decelerated motion. This study showed the effectiveness of the dynamic evaluation method by surface muscle potential.

Photovoltaic-storage integrated systems, which combine distributed photovoltaics with energy storage, play a crucial role in distributed energy systems. Evaluating the health status of photovoltaic-storage integrated energy stations in a reasonable manner is essential for enhancing their safety and stability. To achieve an accurate and continuous assessment of the health status of photovoltaic-storage integrated energy stations, a dynamic evaluation method is proposed in this study. This method integrates both subjective and objective characteristics. Initially, considering the evaluation needs of low-carbon operation and health status for photovoltaic-storage integrated energy stations, a comprehensive health status evaluation system is developed. The significance of each indicator is subjectively analyzed, while also considering objective characteristics and sensitivity of indicators. The integration of subjective and objective characteristics is achieved using principles from game theory. Subsequently, through the establishment of the Grey-TOPSIS evaluation model, both positive and negative correlations of the health status of photovoltaic-storage integrated energy stations are determined, resulting in the derivation of a health status vector. Furthermore, the introduction of time-weight vectors and the incorporation of a time dimension enable dynamic evaluation and the comprehensive observation of health status. Finally, the scientific validity and effectiveness of the proposed evaluation method are demonstrated through practical examples, with comparisons made to traditional evaluation methods. The results clearly indicate that this method offers higher sensitivity when evaluating the health of photovoltaic-storage integrated energy stations.

Production profile logging is an efficient method for production dynamic monitoring and post-fracture effect evaluation in shale gas plays, the method can realize the rule of gas production and water flowback and understand the downhole production situation, it is important to optimize well trajectory, well completion and gas production system. However, the fluids in downhole are mix phases usually, they are composed by gas and hydraulic fraturing fluids in the process of gas production, the flow regimes and status are complicated in horizontal well, in addition, the flow regimes are affected by well diameter and well inclination, thereby, the method of logging data interpretation becomes far more difficult. This paper researched the interpretation method of production logging data firstly in horizontal well, analyzed the production rate distribution in each fracture in a shale gas well. Subsequently, the paper investigated the fluid phase and flow regimes with the image function of array holdup tools, the water recirculation happened in the stage of dogleg postion. In addition, the paper built the sensivity analysis of openhole logging data and hydraulic fracturing parameters with production logging results, analyzed the main impact fators of gas production contribution in the well. At last, Models with non-uniform fracture properties are built to take into the consideration of production logging results, production rate and estimated ultimate recovery (EUR) are predicted by the models with uniform fractures and non-uniform fractures for the case well. From the analysis results of production logging data, it illustrated that only about one third to one half of hydraulic fractures had produced gas. Meanwhile, the productive fractures contribute differently to the gas production rate. There was a lot of water in the wellbore acoording to the dynamic leve of the water. The sensitivity analysis indicated the geology properties and hydraulic fracturing parameters are not main impact factors of gas production distribution unevenly in the well. In addition, models with non-uniform fractures and with uniform fracture are built for this case well. Both models can get satisfying log-log plot and history match. Gas rate and pressure transient analysis with non-uniform fractures model gets higher estimated ultimate recovery (EUR) than the one with uniform fractures model. Through the analysis and application of production profile logging data, understanding the gas flow state in shale gas well, improving the application level of logging data, and the researched results can provide the reasonable suggestions for afterward well trajectory, well completion and produciton optimazition.

As one of the main costs of industrial processes, energy consumption is an essential issue that cannot be ignored in the sustainable development of enterprises. Effective energy efficiency evaluation is important, but also challenging. The conventional method typically uses statistic standard for evaluation. However, infected by the market, the raw materials of an industrial process often fluctuate, which will affect the evaluation standard of energy efficiency. Taking this into account will improve the evaluation performance. To this end, a real‐time dynamic energy efficiency evaluation and analysis method based on multi‐objective state transition algorithm with reference vector (RV‐MOSTA) is proposed to address the energy efficiency evaluation problem. The core of the paper is to realize the dynamic energy efficiency evaluation of multiple indicators considering inlet conditions of industrial processes. Therefore, a systematic set of special indicators are firstly developed for the energy efficiency evaluation. Then, RV‐MOSTA is proposed to determine the evaluation standard, which considers the influence of imported inlet conditions and the optimization of multiple evaluation indicators. Furthermore, a degeneration diagnosis method by means of linear discriminant analysis (LDA) can identify the key variables that lead to energy efficiency degeneration. The proposed method is verified through numerical example and an industrial hydrocracking process.

Aiming at the problem of fuzzy characteristics of academic achievements in the existing evaluation methods of academic innovation effects of American research universities, resulting in low evaluation accuracy, a CNN-based evaluation method of academic innovation effects of American research universities is designed. First, we obtain innovation influence indicators, calculate the breadth of innovation absorption in papers, and identify the characteristics of academic achievements of American research universities; then, we convert scientific and technological achievements into patent licenses, measure keyword coverage, and finally use CNN to design innovation effect evaluation algorithms. We completed the design of the evaluation method for the academic innovation effect of American research universities. The experimental results show that the average evaluation accuracy of the evaluation method of the academic innovation effect of the American research university and the other two evaluation methods are 73.59%, 62.51%, and 60.28%, respectively, which proves that the American research university integrates CNN technology. The evaluation method of the academic innovation effect is more practical.

<div class="section abstract"><div class="htmlview paragraph">Metal foil is a widely used material in the automobile industry, which not only is the honeycomb barrier material but is also used as current collectors in Li-ion batteries. Plenty of studies proved that the mechanical property of the metal foil is quite different from that of the metal sheet because of the size effect on microscopic scale, as the metal foil shows a larger fracture stress and a lower ductility than the metal sheet. Meanwhile, the fracture behavior and accurate constitutive model of the metal foil with the consideration of the strain rate effect are widely concerned in further studies of battery safety and the honeycomb. This article conducted experiments on 8011H18 aluminum foil, aiming to explore the quasi-static and dynamic tension testing method and the anisotropic mechanical behavior of the very thin foil. Two metal foil dog-bone specimens and three types of notched specimens were tested with a strain rate ranging from 2 × 10<sup>−4</sup>/<i>s</i> to 40/<i>s</i> and various stress states. It was shown that the metal foil has an obvious anisotropic behavior and the stress level increases with the strain rate. An anisotropic material model, which combined the Yld2000-2d plasticity model and the rate-dependent plasticity framework, was used to describe the mechanical behavior of the metal foil. Meanwhile, the fracture behavior of the metal foil was calibrated with an anisotropic fracture initiation model. The results of the constitutive model reproduced the strain rate effect and the anisotropic behavior of the metal foil, which have a good agreement with the experimental data.</div></div>

In this study, we put forward multilayer behavior evaluation indicator system and dynamic multistage evaluation method based on individual advantage. From the perspective of best to each evaluated entrepreneur to determine each object's evaluation indicator weight vector that reflects advantages and disadvantages, one stage comprehensive evaluation method is put forward. Each stage weight is driven from individual comprehensive value with the thought of best to each entrepreneur, so to rank all the objects on multistage. It is helpful to encourage entrepreneur bearing environment society responsibility and sustainable development. Through calculation example, feasibility and effectiveness of the method is proved.

One of the critical approaches for scale control is the proper selection and use of scale inhibitors. Laboratory tests help to select the appropriate scale inhibitor with the most common testing methods, including static bottle test and dynamic scaling loop test. Recently, Kinetic Turbidity Test (KTT) has gained increased recognition as a new testing method for scale inhibitor evaluation due to short testing time, simple sample preparation, and good reproducibility. There has been a good deal of research and studies on KTT as a technique for multifunctional scales, including calcium carbonate and barium sulfate (especially low scaling brines), halite and silicates. In addition, KTT can examine dispersant effects of polymers and surfactants on scale and other solids and can work under anaerobic conditions to give mechanistic understanding in the presence of iron. This paper discusses an alternative and efficient scale inhibitor testing method and gives insight for scale treatment chemistry and dosage by comparing and contrasting the different evaluation methods for scale inhibitors.

New method for 2nd order effects evaluation in reinforced concrete portal frames

PurposeThis study identifies a methodology to explore the issues of enterprise innovation ecosystem health (EIEH).Design/methodology/approachFirst, this study constructs the indicator system of EIEH based on the research objective; second, the dynamic vertical projection method (DVPM) and entropy weight method are proposed to analyze the status and influencing factors of EIEH; finally, the future development of EIEH is analyzed using GM (1,1).FindingsIn terms of methodology, the DVPM can effectively analyze EIEH, which can not only analyze the development status and potential of EIEH every year but also analyze the comprehensive state of EIEH for many years. In terms of practice, the value and grade of EIEH in China have been gradually increasing from 2016 to 2020, but the overall development is unbalanced, and five key factors affecting EIEH have been identified. The EIEH in China is predicted to steadily grow from 2021 to 2025.Originality/valueThe analytical method employed in this study can effectively analyze EIEH, which provides a new analytical perspective for the evaluation of EIEH and enriches the research content of the enterprise innovation ecosystem (EIE). By analyzing the results, we can gain a comprehensive understanding of the state of different EIEs, enabling each EIE to design tailored remedial measures to enhance EIEH and achieve sustainable development.

Comprehensive working condition evaluation of the sintering process based on polymorphic indicators

Experiment and optimization of a damping structure system with distributed multiple unidirectional single-particle dampers