DCS is a distributed control system ?
The term Distributed Control System generally referred to as DCS. It is a process control and process monitoring via a link of communication network consisting of multi-level computer systems (servers and clients), communication technologies like Field Bus, 4C technology (CRT) for trend monitoring and the most important process control (via PID and different controllers), the The basic idea is to decentralized the control and centralized operation and management at different levels, flexible and convenient configurations are integral parts of DCS.
What is the the concept of statistical process control?
Statistical process control (SPC) is the application of statistical techniques to evaluate and monitor the various stages of the process and to establish and maintain the process at acceptable and stable level to ensure that products and services meet the requirements of a Quality Control . It is part of the process control from the content is mainly two aspects: First, the use of the stability of the control chart analysis and process calculations capability index to analyze the stability of the process to check the ability of system to meet the technical requirements and quality of the process is evaluated.
What are control Charts?
They are used to monitor the state of the process, measurements, diagnosis and for improvement of the current and future state of the process.
Statistical Process Control commonly use these nine control chart types:
The histogram : That is based on the interval column chart based on performance characteristics of the frequency distribution charts, visually shows the distribution of the data.
Pareto chart : That is also known as the Pareto diagram, it is a tool to display the impact of the various projects to be marked from most crucial to nominal orders. Distinguish between primary, secondary impact on product quality, the general problem, and to identify the main factors affecting the quality of products, identify opportunities for improvement of the quality.
Scatter plot : These are the variables which reflect the distribution of points that are used to discover and display the type and extent of the relationship between the two sets of data, or to confirm the expected relationship via diagram tool.
Process Capability Index : That graph shows the analysis of process capability to meet quality standards, the degree of process specifications.
Frequency analysis : That forms a concept table showing the distribution variables measured at different levels.
Descriptive statistics analysis : That states to the average, maximum, minimum, range, variance, to understand some general characteristics of the process.
Close correlation analysis :That is the relationship between the study variables, and the assumed variables randomly changed and in misplaced priorities.
Regression analysis : That is the most important one it shows the relationship between different analysis variables.
What do you mean by term Expert Systems?
Expert system is an intelligent computer software system whose interior contains a large number of a certain level of experts in the field of knowledge and experience and ability to utilize human expert knowledge and problem-solving methods to deal with the problems of practical field. That is we can say the expert system is a system program which has a lot of expertise and experience that's why it is called expert system and it is the special application of artificial intelligence technology and computer technology, according to one or more experts in a certain knowledge of field and experience, reasoning and judgment and ability to simulate a human expert software program for decision making process, in order to resolve problems of field it may also require human experts to deal with the complex issues. In short expert system is a simulation of human experts to solve field problems.
What are the different types of Expert Systems?
According to the knowledge based partitioning this technology can be divided into these types:
- Logic-based expert systems
- Rule-based expert system
- Expert system based on semantic networks
- Frame-based expert system.
While partitioning according to tasks performed are:
- Interpreted Expert Systems: That performs analysis of symbolic data also it can be used to elaborate the practical significance of these data.
- The predicted type Expert Systems: That performs analysis on object's past and present behavior to infer the objects of the future from evolution of the analysis results.
- Diagnostic Expert System: It performs analysis according to the input information to find the faults and defects of the under observation object.
- Debug type Expert System: It given the failure to process itself for exclusion of program.
- Maintenance-type Expert System: That analysis specify and implement the plan to correct certain types of fault.
- Planning type Expert System: That tool plan the action drawn up according to a given target.
- Design Expert System: In accordance with the given requirements that type form the desired scheme and pattern.
- The Guardianship type Expert System: That is a complete real-time monitoring of all tasks.
- Control type Expert System: That is responsible for completing the implementation of the control tasks.
- Education type Expert System: That is a combination of diagnostic and debugging type Expert System which is used for teaching and training.
