Description
IS200TTURH1B 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.
(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.
ROLLS-ROYCE MOR01 CIRCUIT BOARD
ROLLS-ROYCE MEO-101 CIRCUIT BOARD
ROLLS-ROYCE MEN-210-ITEM-94341 CIRCUIT BOARD
ROLLS-ROYCE MEH-200 CIRCUIT BOARD
ROLLS-ROYCE M44I-16-0-ITEM-99588 CIRCUIT BOARD
ROLLS-ROYCE M44-016-ITEM-99587 CIRCUIT BOARD
ROLLS-ROYCE 6J21-16DF CIRCUIT BOARD
ROLLS-ROYCE 6C27-2K-TELEFRANG-AB CIRCUIT BOARD
ROLLS-ROYCE 5880-PC1015 CIRCUIT BOARD
ROLLS ROYCE ULSTEIN TENFJORD 5880-PC1020 CIRCUIT-BOARD
KONGSBERG RDIOR420
KONGSBERG RMP420 306712
PHOENIX CONTACT TYPE-UMK-SE-11.25-1 CIRCUIT BOARD
MARINE TECHNOLOGIES MODE-CONTROL-PCB-&-JOYSTICK-CO-PCB-L3-300016 CIRCUIT BOARD
MARINE TECHNOLOGIES LLC CENTRAL-TB-PCB-L3-300013C CIRCUIT BOARD
MAN B&W EMRI-ASP02-ASP12-MOD.2 PCB BOARD
LIPS DRUNEN THE NETHERLANDS SIM-REV.2-23456789 PCB MODULE
LIAAEN HELITRON DC0021A PITCH CONTROL CIRCUIT BOARD
KTE KT-ELECTRIC GRU-7-GROUP-RELAY-UNIT-KT-9660-30A PCB BOARD
KTE KT ELECTRIC GRU-7-GROUP-RELAY-UNIT-KT-4-9660-70 PCB BOARD
JASTRAM CIS-V2-COMMAND-INPUT-SELECTOR-JASS-0009-COMP CIRCUIT BOARD
JASTRAM CIS-V2-COMMAND-INPUT-SELECTOR CIRCUIT BOARD
GAP CONTROL ANNUNCIATOR-5CH-GAP-A5C-05-03-AN3 PCB CARD
GAP CONTROL ANNUNCIATOR-5CH-GAP-A5C-05-03-AN1 PCB MODULE
FEDERAL SIGNAL CORPORATION ECHO-MB DIGITAL INTERCOM CIRCUIT BOARD
ECON CO LTD PB-FREE-M080616-P-TRON-VER-5-EX-1 CIRCUIT BOARD
ECON CO LTD P-TRON-VER-5-EX1 CIRCUIT BOARD
BEMAC UZUSHIO BD-PW2-1505D PCB BOARD
BEMAC UZUSHIO BD-MI001-NO-1500A PCB BOARD
BEMAC UZUSHIO BD-MAI01-NO-1499A PCB BOARD
AUTRONICA BSA-101-7212-142.0008-BSA101 PROCESSOR BOARD
ALSTOM SCN646-B-3BEB0322 CONVERTEAM PCB MODULE
ABB-AUTRONICA VD86-AMP AMPLIFIER BOARD
25.6V Forklift Lithium Battery
Lithium battery energy storage cabinet（Energy）
solar battery storage powerwall home energy storage home battery backup
Integrated container energy storage system
Pure Sine wave High Frequency solar Inverter
51.2V wall mounted energy storage battery
Rack-mounted home energy storage unit
Stacked home energy storage system
weida Integrated container energy storage system
48V 51.2V 100AH home energy storage stacked lifepo4 battery
wall mounted battery home energy storage power wall battery
5KW HYBRID SOLAR SYSTEM
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