Architecture of integrated distributed intelligent multimedia system for on-line real-time process monitoring

In order to ensure safe and stable running of applications, this paper analyses the limitation of traditional process-monitoring methods, and then designs a new real-time process monitor method based on Mandatory Running Control (MRC) technology. This method not only can monitor the processes, but also can control them from system kernel level to improve the reliability and safety of applications, so as to ensure the security and stability of information system.

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Real-Time Process Monitoring Based on Multivariate Control Chart for Anomalies Driven by Frequency Signal via Sound and Electrocardiography Cases

Processes ◽

10.3390/pr9091510 ◽

2021 ◽

Vol 9 (9) ◽

pp. 1510

Author(s):

Chih-Hung Jen ◽

Chien-Chih Wang

Keyword(s):

Real Time ◽

Process Monitoring ◽

Sound Frequency ◽

Detection Accuracy ◽

Control Line ◽

Time Process ◽

Intrinsic Mode Functions ◽

Low Frequencies ◽

Linear Discriminant

Recent developments in network technologies have led to the application of cloud computing and big data analysis to industrial automation. However, the automation of process monitoring still has numerous issues that need to be addressed. Traditionally, offline statistical processes are generally used for process monitoring; thus, problems are often detected too late. This study focused on the construction of an automated process monitoring system based on sound and vibration frequency signals. First, empirical mode decomposition was combined with intrinsic mode functions to construct different sound frequency combinations and differentiate sound frequencies according to anomalies. Then, linear discriminant analysis (LDA) was adopted to classify abnormal and normal sound frequency signals, and a control line was constructed to monitor the sound frequency. In a case study, the proposed method was applied to detect abnormal sounds at high and low frequencies, and a detection accuracy of over 90% was realized. In another case study, the proposed method was applied to analyze electrocardiography signals and was similarly able to identify abnormal situations. Thus, the proposed method can be applied to real-time process monitoring and the detection of abnormalities with high accuracy in various situations.

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Real Time Process Monitoring with an Integrated Fibre Monitor

Laser in der Technik / Laser in Engineering ◽

10.1007/978-3-662-08251-5_85 ◽

1994 ◽

pp. 395-398

Author(s):

Chris Peters ◽

Julian D. C. Jones ◽

Daoning Su

Keyword(s):

Real Time ◽

Process Monitoring ◽

Time Process

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Method for Evaluating Machining Toolholder-Spindle Unbalance Due to Chips at the Toolholder Interface

ASME 2010 International Manufacturing Science and Engineering Conference, Volume 1 ◽

10.1115/msec2010-34232 ◽

2010 ◽

Author(s):

John Agapiou

Keyword(s):

Real Time ◽

Process Monitoring ◽

Diagnostic System ◽

Machining Process ◽

Monitoring Method ◽

Spindle System ◽

On Line

Machining process monitoring method is developed for detecting and diagnosis of the presence of chips at the toolholder-spindle interface. Although toolholders can be simply balanced before they are placed in the spindle, there can be some balancing problems remaining when one or more loose machining chips are attached at the toolholder-spindle interface(s) during a tool change. A method is developed by considering the natural and geometric unbalances of the toolholder-spindle system combined with an analysis of the toolholder tilt due to the presence of loose machining chips around the spindle. The method can be integrated on-line as a real-time expert diagnostic system for toolholder tilt due to the presence of loose machining chips at the spindle nose. The expert diagnostic system makes intelligent decisions on toolholder unbalance and concerns with chips at the interface that result in unwanted tilting and vibrations. The tool unbalance algorithm was able to monitor the toolholder tilting according to the results of this study.

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