Automated testing is an approach to transforming human-driven testing behavior into automated machine execution, which can perform many tests that are difficult or impossible to achieve by manual testing. Due to compl...
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ISBN:
(数字)9781665458641
ISBN:
(纸本)9781665458641
Automated testing is an approach to transforming human-driven testing behavior into automated machine execution, which can perform many tests that are difficult or impossible to achieve by manual testing. Due to complex business, tight coupling, strict timing, and a large amount of data exchange, many equipment software cannot be tested by manual testing. Developing dedicated test tools is costly, time-consuming, and requires advanced programming knowledge. That poses a significant challenge for testers with limited programming skills. To this end, we propose a hybrid-driven automated testing approach. We design and realize a test automation platform based on the ideas of data-driven and keyword-driven testing. We also design configuration rules and implement them in this platform. With this platform, testers only need to focus on business analysis and make simple configurations to conduct automated testing for complex process equipment software. There is no need to develop dedicated test tools or write test scripts, which reduces the technical threshold for automated testing. Application results indicate that our approach can perform more business scenarios than manual testing and physical testing. Compared with conventional automated testing approaches, ours does not require testers to have programming skills. It is simple to use, easy to maintain, and extensible.
Tighter discharge permits often require wastewater treatment plants to maximize utilization of available facilities in order to cost-effectively reach these goals. Important aspects are minimizing internal disturbance...
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Tighter discharge permits often require wastewater treatment plants to maximize utilization of available facilities in order to cost-effectively reach these goals. Important aspects are minimizing internal disturbances and using available information in a smart way to improve plant performance. In this study, flow control throughout a large highly automated wastewater treatment plant (WWTP) was implemented in order to reduce internal disturbances and to provide a firm foundation for more advancedprocesscontrol. A modular flow control system was constructed based on existing instrumentation and soft sensor flow models. Modules were constructed for every unit process in water treatment and integrated into a plantwide model. The flow control system is used to automatically control recirculation flows and bypass flows at the plant. The system was also successful in making accurate flow estimations at points in the plant where it is not possible to have conventional flow meter instrumentation. The system provides fault detection for physical flow measuring devices. The module construction allows easy adaptation for new unit processes added to the treatment plant.
The efficiency of the process of thiosulfate leaching of intermediate industrial products depends on the composition of the incoming raw materials, the operational control of which is impossible. In this paper, we pro...
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The efficiency of the process of thiosulfate leaching of intermediate industrial products depends on the composition of the incoming raw materials, the operational control of which is impossible. In this paper, we propose upgrading of the processcontrol system which allows reducing the downtime of the process equipment.
This work integrates fundamental models and metrology sensors with state-of-the-art estimation and model-predictive control techniques in order to regulate overlay photo-lithography errors. Fundamental overlay models ...
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ISBN:
(纸本)0819448494
This work integrates fundamental models and metrology sensors with state-of-the-art estimation and model-predictive control techniques in order to regulate overlay photo-lithography errors. Fundamental overlay models are presented that describe the relationship between the photo-lithography steppers and the metrology sensors. A Kalman filter is employed that utilizes the process model and the sensor model and automatically estimates uncertain states given metrology measurements. A model-predictive controller is employed that is very effective in rejecting disturbances in the overlay process, such as tool drift and model mismatch. All overlay errors have been driven to zero +/- the measurement variance of the metrology tool. This level of control is achieved for every tool-device-layer-reticle combination.
Nowadays the automation of repetitive and time-consuming tasks for employees is becoming more and more popular. automation of software testing has lots of benefits but it also has limited functions and strictly rely o...
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ISBN:
(纸本)9781728104492
Nowadays the automation of repetitive and time-consuming tasks for employees is becoming more and more popular. automation of software testing has lots of benefits but it also has limited functions and strictly rely on the system under the test (SUT). One of the technologies that may be used to leverage its disadvantages is Robotic processautomation (RPA). RPA is an approach to business workflow automation, in which the program emulates user actions within graphical user interface to achieve the desired result. In this paper the basic approaches for automation of software testing using RPA are investigated. This paper describes the proposed method for software test automation which allows to execute tests in a faster and more reliable way.
Typical usage of test wafers (TW) in semiconductor manufacturing involves testing and development of new processes, equipment qualification, and process monitoring activities. A 300mm fab can potentially spend million...
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ISBN:
(纸本)9781424419647
Typical usage of test wafers (TW) in semiconductor manufacturing involves testing and development of new processes, equipment qualification, and process monitoring activities. A 300mm fab can potentially spend millions of dollars each year purchasing test wafers. Over the years, improvements in TW management systems have led to a reduction in cost by enabling better inventory control. However, even with the increased level of automation of 300mm fabs, the TW management process still leaves much to be automated. In this paper, we describe an automated TW management system and the performance benefits derived from its usage.
Industrial process Measurement and control Systems (IPMCS) are used in most of the industrial sectors to achieve production improvement, process optimization and time and cost reduction. Integration, reuse, flexibilit...
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ISBN:
(纸本)9780780397583
Industrial process Measurement and control Systems (IPMCS) are used in most of the industrial sectors to achieve production improvement, process optimization and time and cost reduction. Integration, reuse, flexibility and optimization are demanded to adapt to a rapidly changing and competitive market. The standardization of high level programming languages for Programmable Logic controller (PLCs) allows implementing more advancedcontrol strategies in PLC based control applications. In this paper, AntiWindup (AW) and Bumpless Transfer (BT) mechanisms for PID control have been selected to be implemented as reusable Functional Block (FB) Program Organization Unit (POU). In particular, the final objective of the work is to design a mode switching supervisor for hybrid control systems.
To solve the clinical problem of constructing an aesthetic and appropriate orbital prosthesis model,two methods based on volume cutting and surface cutting respectively are proposed in this *** spline interpolation,re...
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ISBN:
(纸本)9781509001668
To solve the clinical problem of constructing an aesthetic and appropriate orbital prosthesis model,two methods based on volume cutting and surface cutting respectively are proposed in this *** spline interpolation,region growth,triangular patch calculation,cylinder cutting and other techniques,we obtain the 3D orbital prosthesis model with a proper size and smooth ***,a visual feedback mechanism is added in the process of prosthesis construction to make the prosthesis model fit the defect part *** results show that the CT image based 3D orbital prosthesis model construction method in this paper significantly improves the clinical acceptability and effectiveness.
An automation system, commonly referred to as a processcontrol System or Supervisory control and Data Acquisition (SCADA) System, is critical to the efficient operation, safe and reliable of so many Industrial Proces...
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ISBN:
(纸本)9781424458479
An automation system, commonly referred to as a processcontrol System or Supervisory control and Data Acquisition (SCADA) System, is critical to the efficient operation, safe and reliable of so many Industrial processes. processcontrol System (PCS) is used widely in infrastructure (including electric power, water, petroleum, and natural gas), as well as in various manufacturing operations. Electronic automation of control enables quicker and more coordinated system management compared to human operation, and in many cases there is no effective alternative to the use of PCS. Water treatment plants have to provide good water quality and at the same time low operational costs. Owing to various physical, chemical and biological interactions water treatment processes are often difficult to handle and reliable predictions for the course of processes are difficult to obtain. This paper focuses on an innovative and intelligent control and monitoring system for Water Treatment Plant that has been successfully designed, implemented and commissioned for large Gas Refinery after case study in international standards.
To predict the available capacity and state of health of lithium ion batteries by using Gaussian process regression, one of the crucial tasks is to choosing the covariance function. This paper proposes a method which ...
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ISBN:
(纸本)9781538645093
To predict the available capacity and state of health of lithium ion batteries by using Gaussian process regression, one of the crucial tasks is to choosing the covariance function. This paper proposes a method which can fulfill the Gaussian process regression by using most proper covariance functions or the optimal combination. First, a variety of typical functions are tried to fit the battery experimental data points with least square method, which can give us a valuable interpretation of the properties of the data;next, the three functions with minimum root mean square errors are selected to guide the choosing of the patterns of the covariance functions;then the Gaussian process regression is applied on the training data to determine the ultra-parameters included;finally, we use the Gaussian process model to predict the latter cycle capacities within the test data. Experiments show that the combination of selected covariance functions is effective and can be applied on predictions with different batteries. Also, the method can reduce the time in applying Gaussian process regression by determination of the covariance function quickly.
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