• Title/Summary/Keyword: Capability Monitoring

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Development of Planetary Reduction Motor with Mechanical Power Monitoring and Network Capability

  • Jang In-Hun;Sim Kwee-Bo
    • International Journal of Control, Automation, and Systems
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    • v.4 no.3
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    • pp.359-364
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    • 2006
  • This article describes the useful way to measure the torque and RPM of the geared motor. For this we have made the planetary geared reduction motor including 2 Hall sensors in it and the monitoring system. The monitoring system displays the sensing values (torque, rpm) and the calculated value (power) and it also has the network capability using the Bluetooth protocol. We will show that our solution is much more inexpensive and simple method to measure torque and rpm than before.

Optimization of Air Quality Monitoring Networks in Busan Using a GIS-based Decision Support System (GIS기반 의사결정지원시스템을 이용한 부산 대기질 측정망의 최적화)

  • Yoo, Eun-Chul;Park, Ok-Hyun
    • Journal of Korean Society for Atmospheric Environment
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    • v.23 no.5
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    • pp.526-538
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    • 2007
  • Since air quality monitoring data sets are important base for developing of air quality management strategies including policy making and policy performance assessment, the environmental protection authorities need to organize and operate monitoring network properly. Air quality monitoring network of Busan, consisting of 18 stations, was allocated under unscientific and irrational principles. Thus the current state of air quality monitoring networks was reassessed the effect and appropriateness of monitoring objectives such as population protection and sources surveillance. In the process of the reassessment, a GIS-based decision support system was constructed and used to simulate air quality over complex terrain and to conduct optimization analysis for air quality monitoring network with multi-objective. The maximization of protection capability for population appears to be the most effective and principal objective among various objectives. The relocation of current monitoring stations through optimization analysis of multi-objective appears to be better than the network building for maximization of population protection capability. The decision support system developed in this study on the basis of GIS-based database appear to be useful for the environmental protection authorities to plan and manage air quality monitoring network over complex terrain.

Development of Displacement Measuring Sensor Module to Monitoring About Variation and Distortion for Bridge Infrastructure at Wireless Communication Environmental (교량구조물의 구조적 변형을 측정하는 무선통신기반 변위센서모듈 개발)

  • Ryu, Seung-Ki;Moon, Hak-Yong
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.9 no.5
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    • pp.87-95
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    • 2010
  • Lots of bridge structure generated the change of outward formation according to durability capability and decrepitude by long use. Especially, in case of the typhoon, snowing and earthquake is going to make rapidly more worse formation about the old structural facilitys. Also, outward formation by irregular and micro-distortion in bridge structure could not easily checked by normal diagnostics method. As a result, performance-capability of structure facility is getting to make a decline in standard of structure performance. Recently, real-time monitoring technology by wireless environment go into the study of irregular movement for structure facility. This paper presents the development of sensor to displacement checking about bridge structure. Sensing method of developed sensor put bring into the gyroscope technology using the acceleration speed and angular acceleration speed. This paper also will simulated to verified the monitoring capability of developed sensor against random vibration, frequency and distortion in simulated equipment.

An Interpretation of Process Capability Index and Process Performance Index

  • Nam, Ho-Soo
    • Journal of the Korean Data and Information Science Society
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    • v.13 no.2
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    • pp.285-294
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    • 2002
  • The control chart is widely used tool for monitoring of the process. This paper deals with an interpretation of the process capability index(PCI) and process performance index(PPI) when the control chart is used for monitoring of the process. The main difference between the PCI and PPI is how we did estimate the process deviation. The PCI uses the within process variation and the PPI uses the total process variation, which is conceptually defined as sum of between process variation and within process variation. Easy interpretations of the PCI and PPI for field engineers are described. And some new approaches to interpretation of the process capability and performance index may be useful in early stabilization of new process.

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Information Resource Management Using by Integrated Control Architecture (통제 아키텍처를 이용한 정보자원 관리)

  • Kim, Jeong-Wook
    • Journal of Korean Society for Quality Management
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    • v.38 no.1
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    • pp.64-74
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    • 2010
  • Since management of information resources is getting more complicated in the distributed, heterogeneous computing environment, the capability of monitoring and controlling the dispersed information resources is perceived as a critical success factor for the effective enterprise-wide information resource management. Integrated Control Architecture(ICA) provides that capability. Utilizing such architecture, we can manage corporate information resources more efficiently, perform impact analysis for changes in information resources, and alleviate the human effort by automating the monitoring of critical information resources. In this paper, we propose a conceptual framework and metamodel of ICA.

Structural novelty detection based on sparse autoencoders and control charts

  • Finotti, Rafaelle P.;Gentile, Carmelo;Barbosa, Flavio;Cury, Alexandre
    • Structural Engineering and Mechanics
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    • v.81 no.5
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    • pp.647-664
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    • 2022
  • The powerful data mapping capability of computational deep learning methods has been recently explored in academic works to develop strategies for structural health monitoring through appropriate characterization of dynamic responses. In many cases, these studies concern laboratory prototypes and finite element models to validate the proposed methodologies. Therefore, the present work aims to investigate the capability of a deep learning algorithm called Sparse Autoencoder (SAE) specifically focused on detecting structural alterations in real-case studies. The idea is to characterize the dynamic responses via SAE models and, subsequently, to detect the onset of abnormal behavior through the Shewhart T control chart, calculated with SAE extracted features. The anomaly detection approach is exemplified using data from the Z24 bridge, a classical benchmark, and data from the continuous monitoring of the San Vittore bell-tower, Italy. In both cases, the influence of temperature is also evaluated. The proposed approach achieved good performance, detecting structural changes even under temperature variations.

Rapid full-scale expansion joint monitoring using wireless hybrid sensor

  • Jang, Shinae;Dahal, Sushil;Li, Jingcheng
    • Smart Structures and Systems
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    • v.12 no.3_4
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    • pp.415-426
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    • 2013
  • Condition assessment and monitoring of bridges is critical for safe passenger travel, public transportation, and efficient freight. In monitoring, displacement measurement capability is important to keep track of performance of bridge, in part or as whole. One of the most important parts of a bridge is the expansion joint, which accommodates continuous cyclic thermal expansion of the whole bridge. Though expansion joint is critical for bridge performance, its inspection and monitoring has not been considered significantly because the monitoring requires long-term data using cost intensive equipment. Recently, a wireless smart sensor network (WSSN) has drawn significant attention for transportation infrastructure monitoring because of its merits in low cost, easy installation, and versatile on-board computation capability. In this paper, a rapid wireless displacement monitoring system, wireless hybrid sensor (WHS), has been developed to monitor displacement of expansion joints of bridges. The WHS has been calibrated for both static and dynamic displacement measurement in laboratory environment, and deployed on an in-service highway bridge to demonstrate rapid expansion joint monitoring. The test-bed is a continuous steel girder bridge, the Founders Bridge, in East Hartford, Connecticut. Using the WHS system, the static and dynamic displacement of the expansion joint has been measured. The short-term displacement trend in terms of temperature is calculated. With the WHS system, approximately 6% of the time has been spent for installation, and 94% of time for the measurement showing strong potential of the developed system for rapid displacement monitoring.

Evaluation Method for Measurement System and Process Capability Using Gage R&R and Performance Indices (게이지 R&R과 성능지수를 이용한 측정시스템과 공정능력 평가 방법)

  • Ju, Youngdon;Lee, Dongju
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.42 no.2
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    • pp.78-85
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    • 2019
  • High variance observed in the measurement system can cause high process variation that can affect process capability badly. Therefore, measurement system analysis is closely related to process capability analysis. Generally, the evaluation for measurement system and process variance is performed separately in the industry. That is, the measurement system analysis is implemented before process monitoring, process capability and process performance analysis even though these analyses are closely related. This paper presents the effective concurrent evaluation procedure for measurement system analysis and process capability analysis using the table that contains Process Performance (Pp), Gage Repeatability & Reproducibility (%R&R) and Number of Distinct Categories (NDC). Furthermore, the long-term process capability index (Pp), which takes into account both gage variance and process variance, is used instead of the short-term process capability (Cp) considering only process variance. The long-term capability index can reflect well the relationship between the measurement system and process capability. The quality measurement and improvement guidelines by region scale are also described in detail. In conclusion, this research proposes the procedure that can execute the measurement system analysis and process capability analysis at the same time. The proposed procedure can contribute to reduction of the measurement staff's effort and to improvement of accurate evaluation.

The study on the Process Capability Index for Continuously Improvement Quality Safety (품질안전개선을 위한 공정능력지수의 연구)

  • Yang, Kwang-Mo;Oh, Sun-Il;Kang, Kyong-Sik
    • Journal of the Korea Safety Management & Science
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    • v.8 no.3
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    • pp.11-25
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    • 2006
  • It is necessary to deal with the process capability index carefully because it has been developed with certain assumptions. Companies make a decision on processes through the results obtained by using and treating data extracted from the processes. However if they have incorrect or wrong results, they cannot lead to proper outputs but also bring to loss of the competition in quality. Therefore, this study will show a method to analysis Cp (process capability ; CP) and an idea of mass-production on Pp (process performance ; PP) based on the Sigma Estimate which is one of the uncertainty in the process capability index and makes a lot of error. To apply this method, it is essential to understand and to analyze the processes exactly. Especially, it is required to establish the more accurate process capability index that can quickly and properly respond to changes on processes to recognize the small changes on the process which lies in specification in mass production system that the continual monitoring of quality managers is required.

Low Overhead System Monitoring Based on SNMP (SNMP를 이용한 효율적인 시스템 모니터링)

  • Kim, Tae-Su;Jeong, Chang-Young;Kim, Dong-Uk;Kim, Yong-Seok
    • Journal of Industrial Technology
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    • v.25 no.A
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    • pp.175-182
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    • 2005
  • SNMP is a standard protocol for management of networking devices. Nowadays, most computer systems have capability to act as SNMP agents. In this paper, we describe our system monitoring software based on SNMP. It consists of a monitoring server, SNMP agents, and client programs. The monitoring server collects status information from the SNMP agents running on the monitoring target graphical display. We developed two version of clients, Java based standalone program and Web based program. Since most known SNMP packages are too big and heavy, we developed an efficient version of SNMP library for out system monitoring.

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