Description
IC695CPE400 General Electric
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.
YOKOGAWA PW301 Module power supply
METSO D100644 converter
BASLER A404K Industrial camera
3BHE022293R0101 ABB controller
ABB KP3000 One way thyristor
ABB KP2500 Silicon controlled rectifier
GFD233A 3BHE022294R0103 ABB Static excitation system controller
3BHE022294R0103 ABB static excitation system
DO810 3BSE008510R1 ABB I/O terminal board
ABB DI04 SD series input and output
CI871K01 3BSE056767R1 ABB Communication module
CAI04 ABB I/O/DO module
ABB 5SHY35L4503 3BHB004693R0001 The gate can shut off the thyristor
TRICONEX 3721 Control system module
IS200TSVOH2B GE MKVI control circuit board
TEWS TPMC871-10 Power supply module
ICS TRIPLEX T8461C 16 channel digital output module
ICS TRIPLEX T8403C 8 channel digital input
IBA SM128V Communication module
F650BABF2G0LOSHE GE Feed line relay
KJ3002X1-BF1 12P1732X042 EMERSON Robot IO module
38B5786X132 EMERSON FISHER locator accessories
TSXMRPC007MC Schneider Configurable SRAM application/File memory extension
CP405 A0 1SAP500405R0001 ABB Man machine interface
PM866-2 3BSE050201R1 ABB Redundant system processor module
KONGSBERG RMP201-8 Servo control unit
1756-RM A-B PLC controller
1756-PA72 A-B Analog input module
1756-L63 A-B DI/DO controller card
1756-L61 A-B System spare parts
1756-EN2T A-B System board card
1756-CN2R A-B Connector module
1756-A7 A-B rack
5X00622G01 Emerson Card piece module
5X00502G01 Emerson Input control panel
5X00500G01 Emerson Redundant controller
5X00499G01 Emerson Interface module
5X00497G01 Emerson PLC control system
5X00489G01 Emerson Servo drive module
5X00481G04 Emerson Input output module
5X00226G04 Emerson Numerical control module
5X00226G01 Emerson Power supply drive board
5X00106G01 Emerson Switch quantity input module
1C31234G01 Emerson Ethernet module
1C31233G04 Emerson I/O expansion interface board
1C31232G02 Emerson I/O modules
1C31227G01 Emerson Control I/O module
1C31222G01 Emerson Analog input module
1C31224G01 Emerson Electronic module
1C31194G03 Emerson System module
1C31189G03 Emerson Network communication card
1C31181G01 Emerson servo module
1C31169G02 Emerson Digital output board
1C31179G01 Emerson Communication board
V17152-310 ABB Intelligent transmitter module
1C31132G01 Emerson Analog quantity module
1C31129G03 Emerson Diagnostic output module
REF615A_E HAFAABAAABE1BCA1XE ABB Microcomputer protection device
GPU/2/GS DEIF Parallel controller for generators
ABB PM864AK01 3BSE018161R1 Control unit PM864A
9907-164 WOODWARD Turbine Control
8200-1300 WOODWARD Governor of speed
A-B 1785-ME64/A Memory card
XVC768117 3BHB007211R117 ABB Control card
мы организуем фото на складе, чтобы подтвердить
чтобы вернуть их вам. Конечно, мы ответим на ваши озабоченности как можно скорее.
Reviews
There are no reviews yet.