Description
SW-CAN-MONITOR Многоточечный сенсорный дисплей EATON
современными требованиями дизайна. Как и XV303, конденсаторный многоточечный сенсорный дисплей поддерживает реализацию
современного пользовательского интерфейса (управление жестами)
и предлагает 7 – и 10 – дюймовые дисплеи, в том числе версии с высоким соотношением сторон 16: 9.
просто и требует меньше компонентов и инженерных работ, чем традиционная проводка. SmartWire – DT интегрирует связь и ввод / вывода
непосредственно в устройства управления, отображения и переключения, открывая новые возможности для инновационных и экономичных решений.
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.
PHOENIX IB ST ZF 24 AI 4/SF-2750620 CONTACT I/O module
PHOENIX IB ST 24 AI 4SF-2754309 I/O module
INDRAMAT MAC112C-0-ED-2-C/130-B-0 servomotor
INDRAMAT MAC112D-0-ED-2-C/180-A-0/S011 motor
INDRAMAT MAC112C-0-HD-4-C/180-A-0/WI516LV/SO11 motor
INDRAMAT KDS1.3-200-300-W1 Ac servo driver
INDRAMAT KDS1.3-150-300-W1 Ac servo driver
KDV2.2-100-200/300-220 INDRAMAT Ac servo power supply
280D-F12Z-10B-CR A-B ArmorStart Starter
FBM218 FOXBORO Communication module
SM50/100-T BOSCH Processor module
SIEMENS 6ES7952-1AK00-0AA0 Memory card
PHOENIX 2961192 relay
MTL MTL5541 Safety grid
TRICONEX 1600071-001 Network communication card
POWERBOX PU200-31C DO module
A06B-6077-H106 FANUC Control system power supply
GE VME-1064 Digital output module
FAUNC A06B-0590-B004#7008 servomotor
MOTOROLA MVME705B Analog output module
Triconex SIS AI6700 Distributed I/O module
Triconex PM6301A Logic control module
Triconex SIS MP6004 Digital output module
TRICONEX DO6603 Controller module
TRICONEX ICM6211 System module
TRICONEX DI6503 Safety system card
YOKOGAWA DR1030B60 Servo controller
YOKOGAWA SR1030B62 Servo actuator
DAIICHI-DENTSU SAN4-40M driver
SIEMENS 6ES7416-3ES06-0AB0 Servo module
ABB 3HAC17484-8/08 Rotating ac motor
CICP1800RB CONTINENTAL Expansion board DI/DO
086345-504 ABB Optical fiber interface board
086329-003 ABB I/O board
GE 84-W8559F01B CPU module
RELIANCE ELECTRIC WR-D4005 Switch quantity input card
RELIANCE MD-D4002B Control processor
RELIANCE ELECTRIC 0-60031-5 Network communication module
RELIANCE 0-60029-1 I/O expansion interface board
RELIANCE 0-60028-2 Controls the I/O module
269PLUS-D/O-261-100P-120 GE Excitation control panel
SR750-P5-G1-S1-HI-A20-R GE Motor protection device
VEG20400 SCHENCK DCS card
VT-VPCD-1-15/V0/1-P-1 Rexroth Driver module
PR6423/00R-010+CON031 epro Axial vibration sensor
PR6423/008-110+CON041 EPRO Eddy current sensor
R88D-KN15F-ECT Omron controller
G2E140-51-09Р-180/225 ABB Centrifugal fan
RELIANCE 0-57170 Digital signal output module
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