Description
XN-S4T-SBBS Экран 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.
3.2 Machine learning
As the functionality of distributed computing tools such as Spark MLLib (http://spark.apache.org/mllib) and SparkR (http://spark.apache
.org/docs/latest/index.html) increases, it becomes It is easier to implement distributed and online machine learning models, such as support
vector machines, gradient boosting trees and decision trees for large amounts of data. Test the impact of different machine parameters and process
measurements on overall product quality, from correlation analysis to analysis of variance and chi-square hypothesis testing to help determine the impact of individual
measurements on product quality. This design trains some classification and regression
models that can distinguish parts that pass quality control from parts that do not. The trained models can be used to infer decision rules. According to the highest purity rule,
purity is defined as Nb/N, where N is the number of products that satisfy the rule and Nb is the total number of defective or bad parts that satisfy the rule.
Although these models can identify linear and nonlinear relationships between variables, they do not represent causal relationships. Causality is critical to
determining the true root cause, using Bayesian causal models to infer causality across all data.
3.3 Visualization
A visualization platform for collecting big data is crucial. The main challenge faced by engineers is not having a clear and comprehensive overview of the complete manufacturing
process. Such an overview will help them make decisions and assess their status before any adverse events occur. Descriptive analytics uses tools such as
Tableau (www.tableau.com) and Microsoft BI (https://powerbi.microsoft.com/en-us) to help achieve this. Descriptive analysis includes many views such as
histograms, bivariate plots, and correlation plots. In addition to visual statistical descriptions,
a clear visual interface should be provided for all predictive models. All measurements affecting specific quality parameters can be visualized and the data
on the backend can be filtered by time.
JRCS GMS-M01A CPU MODULE
EMERSON VISION CPU UNIT
AUXITROL M-11-528 CPU SUPERVISOR PCB CARD
ALSTOM VME-7700RC-PN-721-6140-00 CONVERTEAM COMPUTER MODULE
GE Controller module VMIVME-4140-000
WEIDMULLER WAS4 PRO DC-DC SIGNAL CONVERTER
VICOR POWERBOX PEU-106-C DC CONVERTER
ULSTEIN MARINE ELECTRONICS AS ISO1010 ART-60663 CONVERTER MODULE
SULZER PRINT-BG-Art.No-112.045.584.200 ECU CONTROL PANEL
SMC PC15 IP CONVERTER
SHINKO MOC-6025C-10A CONVERTER MODULE
SHINKO ELECTRIC MOC-6025-2T-10A CONVERTER MODULE
SCONINC 2000 SERIES SCONI-2300-5NY ISOLATED CONVERTER
SCONINC 2000 SERIES SCONI-2100-2NY ISOLATED CONVERTER
PROCES-DATA PD661-SPI SIMPLE P-NET INTERFACE RS-485 TO LIGHT-LINK CONVERTER
PR 3105 ISOLATED CONVERTER
POWER PLAZA PS 25-24-15 DC-DC CONVERTER
NABCO NPS-101-881-74740781 PCB-DC-CONVERTER
MELCHER K1000-LK1001-9R AC-DC CONVERTER
JASTRAM ENGINEERING JA-701126-2-DSC-100 DIGITAL STEERING CONTROLLER
KONGSBERG GLB-7B-7A-SPAREB DUAL SENSOR CONVERTER
HANLA AD-82 ANALOG DIGITAL CONVERTER
CEGELEC-AAS MINISEMI-380-415-42E Frequenzumrichter
CEGELEC-AAS MINISEMI-380-415-42 Frequenzumrichter
ATC TECHNOLOGY ATC-850 ISOLATED CONVERTER
ALSTOM MICROSEMI-380 BOX UNIT
YAMATAKE J-SSP50-22 CONTROLLER
YAMATAKE J-SSP50-21 CONTROLLER
YAMATAKE J-SRP80-020 CONTROLLER
YAMATAKE CORPORATION C315GA040500 DIGITAL TEMPERATURE CONTROLLER
YAMATAKE CORPORATION C312GA000500 DIGITAL TEMPERATURE CONTROLLER
YAMATAKE CORPORATION AZBIL-SDC31-C312GA000100 DIGITAL INDICATING CONTROLLER
WYNN MARINE 1000.115.110.1C SERIES WIPER CONTROLLER
WYNN 1000-230-110-IC STRAIGHT LINE WIPER CONTROLLER
WOODWARD 8290-184 REV-R THROTTLE CONTROLLER
UCHIDA URP-15W-10G DECK CRANE CONTROLLER
UCHIDA U-SYS-081 DECK CRANE CONTROLLER
TERASAKI GAC-16MG-S-EIN-302S GENERATING PLANT CONTROLLER
TERASAKI EGS-112A MAC-2S MOTOR AUTOMATIC CONTROLLER
TELEMECANIQUE-SCHNEIDER ELECTRIC TSX MICRO-TSX3722101 CONTROLLER
SELCO M2500 ENGINE CONTROLLER
SCANA MAR-EL N-3880 DALEN MPS210 CONTROLLER MODULE
SCANA MAR-EL N-3880 DALEN MPS200 CONTROLLER MODULE
SCANA MAR-EL AS N-3886 DALEN MP-501 CONTROLLER PCB CARD
SBS TECHNOLOGY EGE-CONTROLLER SBS5000 EGE MONITOR CONTROLLER
SAE ELEKTRONIK GMBH KA-40-RS-232-T CONTROL UNIT
SAACKE MARINE SYSTEMS RSE-P II CONTROLLER
SAACKE F-OSA-1-8400-143200-FOSA BURNER PROGRAM CONTROLLER
ROLLS-ROYCE MARINE-ULSTEIN UMAS-E0 CONTROLLER PANEL
ROLLS-ROYCE MARINE SLIO-02 CANMAN CONTROLLER NETWORK MODULE
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