Description
IS215UCVEH2AE GE Steam Turbine System
высотой 3U, расположенный в раме управления под DSPX.
волоконно – оптический разъем на передней панели и передаются в модуль обнаружения заземления.
ABB: Запасные части для промышленных роботов серии DSQC, Bailey INFI 90, IGCT, например: 5SHY6545L0001 AC1027001R0101 5SXE10 – 0181, 5SHY3545 L0009, 5SHI3545L0010 3BHB013088 R0001 3BHE009681R0101 GVC750BE101, PM866, PM861K01, PM864, PM510V16, PPD512, PPPD113, PP836A, P865A, 877, PPP881, PPPP885, PPSL500000 4 3BHL00390P0104 5SGY35L4510 и т.д.
General Electric: запасные части, такие как модули, карты и приводы. Например: VMVME – 7807, VMVME – 7750, WES532 – 111, UR6UH, SR469 – P5 – HI – A20, IS230SRTDH2A, IS220PPDAH1B, IS215UCVEH2A, IC698CPE010, IS200SRTDH2ACB и т.д.
Система Bently Nevada: 350 / 3300 / 1900, предохранительные зонды и т.д., например: 3500 / 22M, 3500 / 32, 3500 / 15, 3500 / 23500 / 42M, 1900 / 27 и т.д.
Системы Invis Foxboro: Серия I / A, управление последовательностью FBM, трапециевидное логическое управление, обработка отзыва событий, DAC,
обработка входных / выходных сигналов, передача и обработка данных, такие как FCP270 и FCP280, P0904HA, E69F – TI2 – S, FBM230 / P0926GU, FEM100 / P0973CA и т.д.
Invis Triconex: Модуль питания, модуль CPU, модуль связи, модуль ввода – вывода, например 300830937214351B, 3805E, 831235114355X и т.д.
Вудворд: контроллер местоположения SPC, цифровой контроллер PEAK150, например 8521 – 0312 UG – 10D, 9907 – 149, 9907 – 162, 9907 – 164, 9907 – 167, TG – 13 (8516 – 038), 8440 – 1713 / D, 9907 – 018 2301A, 5466 – 258, 8200 – 226 и т.д.
Hima: модули безопасности, такие как F8650E, F8652X, F8627X, F8678X, F3236, F6217, F6214, Z7138, F8651X, F8650X и т.д.
Honeywell: Все платы DCS, модули, процессоры, такие как: CC – MCAR01, CC – PAIH01, CC – PAIH02, CC – PAIH51, CC – PAIX02, CC – PAON01, CC – PCF901, TC – CR014, TC – PD011, CC – PCNT02 и т.д.
Motorola: серии MVME162, MVME167, MVME172, MVME177, такие как MVME5100, MVME5500 – 0163, VME172PA – 652SE, VME162PA – 344SE – 2G и другие.
Xycom: I / O, платы VME и процессоры, такие как XVME – 530, XVME – 674, XVME – 957, XVME – 976 и т.д.
Коул Морган: Сервоприводы и двигатели, такие как S72402 – NANA, S6201 – 550, S20330 – SRS, CB06551 / PRD – B040SSIB – 63 и т. Д.
Bosch / Luxer / Indramat: модуль ввода / вывода, контроллер PLC, приводной модуль, MSK060C – 0600 – NN – S1 – UP1 – NNN, VT2000 – 52 / R900033828, MHD041B – 144 – PG1 – UN и т.д.
0 Preface
Germany”s “Industry 4.0″ and the United States” “Industrial Internet” will
restructure the world”s industrial layout and economic structure, bringing different challenges and
opportunities to countries around the world. The State Council of China issued “Made in China 2025” as an action plan
for the first ten years of implementing the strategy of manufacturing a strong country, which will accelerate the integrated
development of IoT technology and manufacturing technology [1]. IoT collects data on machine operations, material usage
, facility logistics, etc., bringing transparency to operators. This transparency is brought about by the application of data analytics,
which refers to the use of statistical and machine learning methods to discover different data characteristics and patterns. Machine
learning technology is increasingly used in various manufacturing applications, such as predictive maintenance, test time reduction,
supply chain optimization, and process optimization, etc. [2-4]. The manufacturing process of enterprises has gradually developed from
the traditional “black box” model to the “multi-dimensional, transparent and ubiquitous perception” model [5].
1 Challenges facing manufacturing analysis
The goal of manufacturing analytics is to increase productivity by reducing costs without compromising quality:
(1) Reduce test time and calibration, including predicting test results and calibration parameters;
(2) Improve quality and reduce the cost of producing scrap (bad parts) by identifying the root causes of scrap and optimizing
the production line on its own;
(3) Reduce warranty costs, use quality testing and process data to predict field failures, and cross-value stream analysis;
(4) Increase throughput, benchmark across production lines and plants, improve first-pass rates, improve first-pass throughput,
and identify the cause of performance bottlenecks such as overall equipment effectiveness (OEE) or cycle time;
Control module DCS system spare parts SPDSO14
Control module DCS system spare parts SPDSO14
Control module DCS system spare parts SPDSO14
Control module DCS system spare parts SPDSI22
Control module DCS system spare parts SPDSI22
Control module DCS system spare parts SPDSI22
Control module DCS system spare parts SPDSI14
Control module DCS system spare parts SPDSI14
Control module DCS system spare parts SPDSI14
Control module DCS system spare parts SPDSI14
Control module DCS system spare parts SPCJ4D34-AA
Control module DCS system spare parts SPBRC41000000
Control module DCS system spare parts SPBRC410
Control module DCS system spare parts SPBRC410
Control module DCS system spare parts SPBRC410
Control module DCS system spare parts SPBRC400
Control module DCS system spare parts SPBRC400
Control module DCS system spare parts SPBRC300
Control module DCS system spare parts SPBRC300
Control module DCS system spare parts SPBLK01
Control module DCS system spare parts SPBLK01
Control module DCS system spare parts SPBLK01
Control module DCS system spare parts SPA-ZC22
Control module DCS system spare parts SPA-ZC22
Control module DCS system spare parts SPA-ZC21
Control module DCS system spare parts SPAU140C
Control module DCS system spare parts SPAU140C
Control module DCS system spare parts SPASO11
Control module DCS system spare parts SPASO11
Control module DCS system spare parts SPASO11
Control module DCS system spare parts SPASO11
Control module DCS system spare parts SPASI23
Control module DCS system spare parts SPASI23
Control module DCS system spare parts SPASI23
Control module DCS system spare parts SPASI23
Control module DCS system spare parts SPASI23
Control module DCS system spare parts SPAM150C
Control module DCS system spare parts SPAD346C3
Control module DCS system spare parts SPAD346C
Control module DCS system spare parts SPAD346C
Control module DCS system spare parts SPAD346C
Control module DCS system spare parts SPAD330C
Control module DCS system spare parts SNAT7261 PCP
Control module DCS system spare parts SNAT7261
Control module DCS system spare parts SNAT634PAC
Control module DCS system spare parts SNAT617CHC
Control module DCS system spare parts SNAT617CHC
Control module DCS system spare parts SNAT607MCI
Control module DCS system spare parts SNAT605SDB
Control module DCS system spare parts SNAT603CNT/61007041
Control module DCS system spare parts SN:4910391523
Control module DCS system spare parts SMU-03 3HNA03638-001/01
Control module DCS system spare parts SMU-03 3HNA024411-001/00
Control module DCS system spare parts SMU-03 3HNA013638-001/02
Control module DCS system spare parts SMS01
Control module DCS system spare parts SMB-01 3HNA006142-001
Control module DCS system spare parts SM811K01 3BSE018173R1
Control module DCS system spare parts SM811K01
Control module DCS system spare parts SM811K01
Control module DCS system spare parts SM811
Control module DCS system spare parts SM810K01
Control module DCS system spare parts SLC01-RE
Control module DCS system spare parts SK829007-B
Control module DCS system spare parts SK829007-B
Control module DCS system spare parts SK829007-B
Control module DCS system spare parts SK616001-A
Control module DCS system spare parts SK616001-A
Control module DCS system spare parts SINT4611C
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