{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,16]],"date-time":"2025-06-16T18:42:59Z","timestamp":1750099379369},"reference-count":16,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T00:00:00Z","timestamp":1679270400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T00:00:00Z","timestamp":1679270400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"name":"the Natural Science Foundation of China under Grant","award":["61573249"],"award-info":[{"award-number":["61573249"]}]},{"name":"Foundation of Liaoning Province Education Administration under Grant","award":["2019-MS-246"],"award-info":[{"award-number":["2019-MS-246"]}]},{"name":"Educational Department of Liaoning Province under Grant","award":["LZGD2019002"],"award-info":[{"award-number":["LZGD2019002"]}]},{"name":"Innovative Talents of Higher Education of Liaoning Province under Grant","award":["LR2019048"],"award-info":[{"award-number":["LR2019048"]}]},{"name":"the Key Project of Shenyang University of Technology under Grant","award":["ZDZRGD2020004"],"award-info":[{"award-number":["ZDZRGD2020004"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Industrial Artificial Intelligence"],"abstract":"<jats:title>Abstract<\/jats:title><jats:p>The gas flow verification system with positive pressure sonic nozzle is calling for high requirements on the stability of gas source pressure. It is difficult to guarantee the stagnation cabin pressure be controlled within its targeted range, because of varying boundary conditions. To solve the above problems, this paper presents a modeling method based on mechanism and data-driven for gas flow verification system with the positive pressure sonic nozzle. The stochastic configuration network is used to dynamically identify parameters in the mechanism model. After substituting the identification results into the model, the RMSE of the pressure and temperature in the stagnation cabin obtained from the simulation and the actual data are 1.26\u2009\u00d7\u200910<jats:sup>4<\/jats:sup> and 2.64\u2009\u00d7\u200910<jats:sup>4<\/jats:sup>, respectively. Considering the dead zone of the regulating valve and the replacement of regulating valve in the actual operation, the model is analyzed by disturbance experiment. Experimental results show that the dynamic mathematical model could reflect the changing trend of the pressure in the pressure regulating process and prove its effectiveness.<\/jats:p>","DOI":"10.1007\/s44244-023-00007-1","type":"journal-article","created":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T00:03:41Z","timestamp":1679270621000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Modeling and parameter identification of verification systems using stochastic configuration networks"],"prefix":"10.1007","volume":"1","author":[{"given":"Jinghui","family":"Qiao","sequence":"first","affiliation":[]},{"given":"Ningkang","family":"Xiong","sequence":"additional","affiliation":[]},{"given":"Zhong","family":"Pan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,3,20]]},"reference":[{"issue":"6","key":"7_CR1","first-page":"173","volume":"39","author":"C Wan","year":"2018","unstructured":"Wan C, Zhang ZX, Ding HB, Li JX (2018) Design of experimental platform for supersonic condensation of wet air. Chin J Sci Instrum 39(6):173\u2013181","journal-title":"Chin J Sci Instrum"},{"issue":"11","key":"7_CR2","first-page":"147","volume":"41","author":"YP Liu","year":"2020","unstructured":"Liu YP, Chen C, Ma L, Song J (2020) Dispersion and aggregation of calibration curve of turbine flowmeter under multiple working conditions. Chin J Sci Instrum 41(11):147\u2013154","journal-title":"Chin J Sci Instrum"},{"issue":"2","key":"7_CR3","first-page":"100","volume":"43","author":"YP Liu","year":"2022","unstructured":"Liu YP, Liang YZ, Zhu BY, Ma L (2022) Experimental study on calibration curve shape of turbine flowmeter in different viscosity media. Chin J Sci Instrum 43(2):100\u2013107","journal-title":"Chin J Sci Instrum"},{"key":"7_CR4","unstructured":"Inspection and Quarantine of the People\u2019s Republic of China, Metrological verification gauge: GB\/T 18940\u20132003, Beijing, 2003"},{"key":"7_CR5","unstructured":"Li CH, Mickan B, Cui LS, Wang C (2019) The high pressure sonic nozzle gas flow standard facility in NIM, in: International Flow Measurement Conference, pp 115\u2013120"},{"key":"7_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.flowmeasinst.2021.101891","volume":"78","author":"CH Li","year":"2021","unstructured":"Li CH, Wang C, Cui LH (2021) Uncertainty analysis of the high pressure closed loop gas flow standard facility in NIM-ScienceDirect. Flow Meas Instrum 78:101891","journal-title":"Flow Meas Instrum"},{"key":"7_CR7","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/j.flowmeasinst.2018.02.012","volume":"60","author":"CH Li","year":"2018","unstructured":"Li CH, Cao PJ, Zhang H, Cui LS (2018) Throat diameter influence on the flow characteristics of a critical Venturi sonic nozzle. Flow Meas Instrum 60:105\u2013109","journal-title":"Flow Meas Instrum"},{"issue":"6","key":"7_CR8","first-page":"1364","volume":"33","author":"C Wang","year":"2012","unstructured":"Wang C, Ding HB, Liu Q (2012) Design of air supply system for sonic nozzle standard device with positive pressure method. Chin J Sci Instrum 33(6):1364\u20131371","journal-title":"Chin J Sci Instrum"},{"issue":"5","key":"7_CR9","doi-asserted-by":"publisher","first-page":"1150","DOI":"10.1109\/TIM.2018.2790598","volume":"67","author":"JX Li","year":"2020","unstructured":"Li JX, Wang C, Ding HB, Zhang ZX, Sun HJ (2020) EMD and spectrum-centrobaric-correction-based analysis of vortex street characteristics in mist annular flow of wet gas. IEEE Trans Instrum Meas 67(5):1150\u20131160","journal-title":"IEEE Trans Instrum Meas"},{"key":"7_CR10","unstructured":"Cheng XR (2020) Study on calibration method of critical flow Venturi nozzle gas flow standard device. Defense Manuf Technol (2): 13\u201315"},{"key":"7_CR11","unstructured":"Li G, Li QZ, Zhang HP (2020) Design of pressure-adjustable gas flow experimental facility, in: International conference on electronics and optoelectronics, pp 448\u2013451"},{"issue":"5","key":"7_CR12","doi-asserted-by":"publisher","first-page":"1154","DOI":"10.1109\/TIM.2012.2234599","volume":"62","author":"C Wang","year":"2020","unstructured":"Wang C, Ding HB, Wang HX (2020) Thermodynamic model and dynamic temperature compensation in positive-pressure-based sonic nozzle gas flow standard. IEEE Trans Instrum Meas 62(5):1154\u20131165","journal-title":"IEEE Trans Instrum Meas"},{"key":"7_CR13","unstructured":"Inspection and Quarantine of the People\u2019s Republic of China, Metrological verification gauge: GB\/T 21188-2007, Beijing, 2008"},{"key":"7_CR14","unstructured":"Inspection and Quarantine of the People\u2019s Republic of China, Measurement of gas flow by means of critical flow Venturi nozzles: GB\/T 21188-2007, Beijing, 2007"},{"issue":"09","key":"7_CR15","first-page":"188","volume":"34","author":"XY Ma","year":"2020","unstructured":"Ma XY, Xie DL, Xu ZP, Xu Y, Lin TJ, Cao SX (2020) Numerical simulation and characteristic comparison of micro sonic nozzles with different structures. J Electr Measur Instr 34(09):188\u2013195","journal-title":"J Electr Measur Instr"},{"issue":"10","key":"7_CR16","doi-asserted-by":"publisher","first-page":"3466","DOI":"10.1109\/TCYB.2017.2734043","volume":"47","author":"DH Wang","year":"2017","unstructured":"Wang DH, Li M (2017) Stochastic configuration networks: fundamentals and algorithms. IEEE Trans Cybern 47(10):3466\u20133479","journal-title":"IEEE Trans Cybern"}],"container-title":["Industrial Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44244-023-00007-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s44244-023-00007-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44244-023-00007-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T00:11:53Z","timestamp":1679271113000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s44244-023-00007-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,20]]},"references-count":16,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2023,12]]}},"alternative-id":["7"],"URL":"https:\/\/doi.org\/10.1007\/s44244-023-00007-1","relation":{},"ISSN":["2731-667X"],"issn-type":[{"value":"2731-667X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,20]]},"assertion":[{"value":"12 September 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 January 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 March 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"7"}}