2nd ISA/IEEE Sensors for Industry Conference,最新文献_第3页

Fiber optic sensors for the refinery of the future 未来炼油厂的光纤传感器

2nd ISA/IEEE Sensors for Industry Conference, Pub Date : 2002-11-19 DOI: 10.1109/SFICON.2002.1159804

J. W. Berthold, L. Jeffers, R. L. Lopushansky

{"title":"Fiber optic sensors for the refinery of the future","authors":"J. W. Berthold, L. Jeffers, R. L. Lopushansky","doi":"10.1109/SFICON.2002.1159804","DOIUrl":"https://doi.org/10.1109/SFICON.2002.1159804","url":null,"abstract":"We are manufacturing fiber optic sensor/transducers for the measurement of temperature, pressure, differential pressure, strain, vibration, acceleration and acoustic emission. The major technical advantages of our instrumentation are the small size, the inherent safety, immunity to EMI, and tolerance to high temperatures. Each transducer unit contains the same fundamental fiber optic sensor - a Fabry-Perot displacement sensor. For each individual measurement parameter such as temperature or pressure the transducer is designed and packaged such that the transduction mechanism results in a displacement that is measured by the fiber optic sensor. The packages look similar to commercial transducers that use electronic sensors such as strain gages or piezoelectric crystals, Since our transducers all contain the same type of sensor, the signal conditioners are identical and as a result, we achieve significant benefits including increased reliability, reduced cost and capability to provide a single multiplexed system that can accept inputs from any type of transducer. In this paper, we discuss the Fabry-Perot sensing mechanism and the operation of the optical signal conditioner and readout electronics. We describe the results of an extensive characterization program performed on temperature and pressure transducers. We also discuss the multiplexing approach and communications options. Finally, we discuss other refinery measurement needs and transducers we are developing to make the measurements.","PeriodicalId":294424,"journal":{"name":"2nd ISA/IEEE Sensors for Industry Conference,","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124173784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

An intelligent sensor network system coupled with statistical process model for predicting machinery health and failure 基于统计过程模型的机械健康与故障预测智能传感器网络系统

2nd ISA/IEEE Sensors for Industry Conference, Pub Date : 2002-11-19 DOI: 10.1109/SFICON.2002.1159807

A. Hossain

{"title":"An intelligent sensor network system coupled with statistical process model for predicting machinery health and failure","authors":"A. Hossain","doi":"10.1109/SFICON.2002.1159807","DOIUrl":"https://doi.org/10.1109/SFICON.2002.1159807","url":null,"abstract":"Application of statistical process for the purpose of health monitoring of machinery and system is the main purpose of this paper. The system has two main parts. The first, sensing and transmitting of variable by a network of intelligent sensors and transducers. The second, analysis and prognosis of machinery health by a two-step statistical process model (SPM). Most contemporary intelligent sensors have signal-conditioning circuit integrated within the sensor as a single chip device. In many instances sensor and signal conditioning circuit are packaged together as one unit. However, intelligent sensors are becoming increasingly important for many critical applications. An intelligent sensor network system can perform sensing and transmitting of variables for the process controller and can also locally store and transmit sensed variable over wireless link to remote central processing computer. The central processing computer is used for continuous statistical analysis of multiple variables and can be used for predicting machinery failure. Operators at remote location can review processed information at any instant of time and determine imminent and prospective condition of the machinery. Currently we are researching to develop an intelligent sensor network system that will sense and temporarily store process variables and periodically transmit them to a remote location for processing, analyzing, and storing. The process variables are transmitted to the central computer as well as to the controller for continuous control of the process. The statistical process model (SPM) located in the central computer system will analyze the related data for predicting machinery failure and prognostic maintenance.","PeriodicalId":294424,"journal":{"name":"2nd ISA/IEEE Sensors for Industry Conference,","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128143653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Transducers: theory and applications to crude and hydrocarbon flow measurement sensors 传感器:理论和应用在原油和碳氢化合物流量测量传感器

2nd ISA/IEEE Sensors for Industry Conference, Pub Date : 2002-11-19 DOI: 10.1109/SFICON.2002.1159797

Y. F. Basrawi

引用次数: 4

Recent technological progress in portable instruments 便携式仪器的最新技术进展

2nd ISA/IEEE Sensors for Industry Conference, Pub Date : 2002-11-19 DOI: 10.1109/SFICON.2002.1159811

H. Eren

引用次数: 0

A novel frequency measurement technique for quartz microbalance systems and other resonator-based sensor systems 一种新的频率测量技术，用于石英微天平系统和其他基于谐振器的传感器系统

2nd ISA/IEEE Sensors for Industry Conference, Pub Date : 2002-11-19 DOI: 10.1109/SFICON.2002.1159823

I. Shankar, S. Morris, C. Hutchens

{"title":"A novel frequency measurement technique for quartz microbalance systems and other resonator-based sensor systems","authors":"I. Shankar, S. Morris, C. Hutchens","doi":"10.1109/SFICON.2002.1159823","DOIUrl":"https://doi.org/10.1109/SFICON.2002.1159823","url":null,"abstract":"This paper describes the operation and design of a simple, low cost period counting system based on a D flip-flop mixer, directly applicable to quartz microbalances and quartz resonator-based sensors. The architecture of the period counting system is based on measuring the period of a low frequency difference signal obtained by subtracting a high stability reference frequency from the unknown frequency to be measured. An analysis of miscount errors caused by phase jitter in the input signals, when the period counting system is used as a quartz resonator based high temperature pressure sensor, is presented. We present a model that predicts miscount rates and discusses design rules to avoid phase jitter induced miscounts. The frequency measurement system was implemented using Peregrine's 0.5 micron silicon-on-insulator (SOI) UTSi/sup /spl reg// process. The integrated system was successfully tested and its functionality verified at 180/spl deg/C ambient temperature. This circuit, implemented as a low power, ultrahigh resolution, frequency measurement circuit, can facilitate the production of inexpensive, high accuracy battery powered sensors.","PeriodicalId":294424,"journal":{"name":"2nd ISA/IEEE Sensors for Industry Conference,","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126039884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Networked microsensor research at ARL and the ASCTA ARL和ASCTA的网络化微传感器研究

2nd ISA/IEEE Sensors for Industry Conference, Pub Date : 2002-11-19 DOI: 10.1109/SFICON.2002.1159837

A. Filipov, N. Srour, M. Falco, N.H. Nashua

{"title":"Networked microsensor research at ARL and the ASCTA","authors":"A. Filipov, N. Srour, M. Falco, N.H. Nashua","doi":"10.1109/SFICON.2002.1159837","DOIUrl":"https://doi.org/10.1109/SFICON.2002.1159837","url":null,"abstract":"ARL in conjunction with the Advanced Sensors Collaborative Technology Alliance (ASCTA) has embarked on a research program to develop technology that enables distributed Unattended Ground Sensors (UGS) to form ad hock networks which will be inexpensive and will be able to operate for months at a time on a single battery. These networks will cooperatively process multi-modal sensor data to achieve multi-target Detection, Classification and Tracking (DCT) of vehicles and people. To best accomplish this goal, a modular, scalable, and robust decentralized fusion architecture capable of operating under constrained bandwidth conditions is being developed that will perform data, feature, and information level fusion across all levels of the system hierarchy. Algorithms will be developed to autonomously allocate resources to optimize system performance; these will include self-calibration and localization, target handoff sensor cueing, power management, and overall improvement in performance of DCT. This will allow for rapid deployment of UGS fields that provide information about large unoccupied areas. Finally, system modeling and simulation will help optimize overall network performance, cost, operating life and bandwidth usage. This will identify new required sensor modalities and areas where sensor improvements are necessary. Furthermore in those areas where significant processing load is anticipated, tools will be developed to exploit power/energy techniques for efficiently implementing complex algorithms. Progress will be reported in all of these areas and new research opportunities will be identified.","PeriodicalId":294424,"journal":{"name":"2nd ISA/IEEE Sensors for Industry Conference,","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122560509","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A simple, low-cost non-dispersive infrared CO/sub 2/ monitor 一种简单、低成本的非色散红外CO/sub /监测仪

2nd ISA/IEEE Sensors for Industry Conference, Pub Date : 2002-11-19 DOI: 10.1109/SFICON.2002.1159816

Song Chen, T. Yamaguchi, K. Watanabe

引用次数: 5

Increasing ion selective electrodes performance using neural networks 利用神经网络提高离子选择电极的性能

2nd ISA/IEEE Sensors for Industry Conference, Pub Date : 2002-11-19 DOI: 10.1109/SFICON.2002.1159822

O. Postolache, P. Girão, M. Pereira, H. Ramos

引用次数: 4

Wireless sensor networks - battery operation of link and sensor 无线传感器网络。链路和传感器的电池操作

2nd ISA/IEEE Sensors for Industry Conference, Pub Date : 2002-11-19 DOI: 10.1109/SFICON.2002.1159829

B. Sanderford

引用次数: 5

Non-stationary electrical resistivity sensor with contact resistance measurement 具有接触电阻测量的非稳态电阻率传感器

2nd ISA/IEEE Sensors for Industry Conference, Pub Date : 2002-11-19 DOI: 10.1109/SFICON.2002.1159834

C. Christy, S. Dyer

引用次数: 4