Monitoring Process Variability for Stationary Process Data

2014 ◽  
Vol 31 (8) ◽  
pp. 1383-1396 ◽  
Author(s):  
Nien Fan Zhang ◽  
Adam L. Pintar
Keyword(s):  
Stationary Process ◽  
Process Data ◽  
Process Variability ◽  
Monitoring Process

Development of a Companion Set of Charts—Soft Sensor and Directional Moving Range—for Fault Monitoring, Detection and Diagnosis With Application to Gas Turbine Engines

2008 ◽  
Author(s):  
Dorin Scheianu ◽  
Phillip A. Farrington
Keyword(s):  
Gas Turbine ◽  
Gas Turbines ◽  
Research Literature ◽  
Soft Sensor ◽  
Fault Detection And Diagnosis ◽  
Critical Parameters ◽  
Multivariate Statistical ◽  
Process Variability ◽  
Monitoring Process ◽  
Detection And Diagnosis

Gas turbines monitoring for fault detection and diagnosis is long desired to be embedded within control systems. Yet the general approach is to have alarms and shut downs when critical parameters exceed certain limits, and fault diagnosis is initiated on the behalf of experienced professionals and testing apparatus during scheduled maintenance time. Statistical methods for monitoring univariate and multivariate processes have been developed and publicized in the research literature. A gas turbine can be treated as a complex multivariate process with parameters depending both on control variables imposed by operator and on independent ambient parameters. The authors propose a set of companion charts that can be implemented on line and allows continuous monitoring both for fault amplitude — represented by a newly introduced soft sensor — and for process variability in the direction of interest. The control limits are introduced using multivariate statistical theory. The set of charts was applied at Wood Group LIT in a test cell, for monitoring process variability and for diagnosis and characterization of engine faults during tests. A second application is used for early detection of faults at the current serviced fleet of turbines.

scholarly journals The Implementation of Business Intelligence on Cost Accounting – Case Study of XYZ Company

2020 ◽  
Author(s):  
Ford Lumban Gaol ◽  
Lufty Abdillah ◽  
Tokuro Matsuo
Keyword(s):  
Real Time ◽  
Business Intelligence ◽  
Business Processes ◽  
Cost Accounting ◽  
Process Data ◽  
Monitoring Process ◽  
Accounting Report ◽  
Operational Activities ◽  
Access To Data ◽  
Accounting Reports

Abstract Introduction: XYZ is a company engaged in the port sector. XYZ is engaged in the business of loading and unloading terminal services and container buildup. To support the company's business processes. Case Description: XYZ uses two applications in carrying out operational activities, namely the CARTOS application to manage bills and the Finance application to record company costs and revenues. To produce a cost accounting report, PT XYZ is still processing and visualizing it manually using Microsoft Excel applications with data sources from the two applications previously mentioned. There are problems related to the process, where the processing time to process data into information is quite long. So that reporting to management cannot be done in real time. Discussion and Evaluation: The development of business competition is very rapid, the management of XYZ must be able to make decisions quickly and accurately, so company needs tools that can help the management to analyze and manage data into information in real time. The Business Intelligence (BI) method is one of the solutions to the company's needs, especially in analyzing and providing access to data to help make better decisions. Conclusion: This study discusses the design and implementation of business intelligence solutions ranging from architecture, data warehouse, ETL processes and visualization in the form of a dashboard in accordance with the needs of PT XYZ. The method used in developing the business intelligence dashboard refers to the executive information system lifecycle method which consists of justification, planning, business analysis, design, construction and deployment. The results of this research are dashboard visualization using Power BI tools that display information and knowledge needed in the monitoring process and become material for generating management decisions related to cost accounting reports.

Multiobjective design of an S control chart for monitoring process variability

2012 ◽  
Vol 2 (4) ◽  
pp. 408 ◽  
Author(s):  
Abdul Sattar Safaei ◽  
Reza Baradaran Kazemzadeh ◽  
Seyed Taghi Akhavan Niaki
Keyword(s):  
Control Chart ◽  
Process Variability ◽  
Monitoring Process ◽  
Multiobjective Design
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