Description
DS200SDCCG5A Reliable Turbine Control Solutions
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.
(2) Data collection and traceability issues. Data collection issues often occur, and many assembly lines lack “end-to-end traceability.”
In other words, there are often no unique identifiers associated with the parts and processing steps being produced.
One workaround is to use a timestamp instead of an identifier. Another situation involves an incomplete data set. In this case, omit
incomplete information parts or instances from the forecast and analysis, or use some estimation method (after consulting with manufacturing experts).
(3) A large number of features. Different from the data sets in traditional data mining, the features observed in manufacturing analysis
may be thousands. Care must therefore be taken to avoid that machine learning algorithms can only work with reduced datasets (i.e.
datasets with a small number of features).
(4) Multicollinearity, when products pass through the assembly line, different measurement methods are taken at different stations
in the production process. Some of these measurements can be highly correlated, however many machine learning and data mining
algorithm properties are independent of each other, and multicollinearity issues should be carefully studied for the proposed analysis method.
(5) Classification imbalance problem, where there is a huge imbalance between good and bad parts (or scrap, that is, parts that do not
pass quality control testing). Ratios may range from 9:1 to even lower than 99,000,000:1. It is difficult to distinguish good parts from scrap
using standard classification techniques, so several methods for handling class imbalance have been proposed and applied to manufacturing analysis [8].
(6) Non-stationary data, the underlying manufacturing process may change due to various factors such as changes in suppliers
or operators and calibration deviations in machines. There is therefore a need to apply more robust methods to the non-stationary
nature of the data. (7) Models can be difficult to interpret, and production and quality control engineers need to understand the analytical
solutions that inform process or design changes. Otherwise the generated recommendations and decisions may be ignored.
3BHE025541R0101 controller ABB
PCD231B controller ABB
3BHE040375R1023 controller ABB
PPD512A10-150000 controller ABB
PPD115A102 3BHE017628R0102 ABB
3BHE017628R0102 controller ABB
3BHE023584R2634 controller ABB
3BHE023784R1023 controller ABB
PPD113B01-150000 controller ABB
3BHE023784R1023 controller ABB
PD113B01-150000 controller ABB
3BHE023584R2365 controller ABB
PPD113-B03-23-11615 controller ABB
CI853-1 3BSE018125R1 ABB
UAA326A04 Programmable Control Module
HIEE300024R4 Programmable Control Module
HIEE300024R4 UAA326A04 ABB
UAA326A02 HIEE300024R2 ABB
HIEE300024R2 Programmable Control Module
UAA326A02Programmable Control Module
UAA326A02 HIEE300024R2 ABB
UAC318AE HIEE300744R1 ABB
HIEE300744R1Programmable Control Module
UAC318AE Programmable Control Module
HIEE401481R0001 Main control board ABB
HIEE401481R0001 UAC326AE01 ABB
HIEE401481R1 UAC326AE01 ABB
UAC326AE HIEE401481R1ABB
UAC326AE01 Main control board ABB
HIEE401481R1 Main control board ABB
UAC326AE Main control board ABB
3BHE012551R0001 Excitation controller ABB
UAD142A01 Excitation controller ABB
UAD142A01 3BHE012551R0001 ABB
UAD149A00-0-11 3BHE014135R0011 ABB
UAD149 3BHE014135R0011 ABB
AC800PECUAD149A0011 ABB
UAD149A00-0-11 Excitation controller ABB
3BHE014135R0011 Excitation controller
AC800PECUAD149A0011 Excitation controller
3BHE014135R0011 Excitation controller ABB
UAD149A0011 Excitation controller ABB
UAD149A0011 3BHE014135R0011 ABB
UAD154A 3BHE026866R0101 ABB
3BHE026866R0101 Main control board ABB
UAD154A Main control board ABB
3BHE029110R0111 Main control board ABB
UAD155A0111 Main control board ABB
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