Description
IC697MDL241 GE Fanuc Controller Carrie
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.
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.
ABB DSPC 452 Controller unit
ABB DSAI 170H Analog input pad
ABB DSAI 165 Protector module
ABB DSAI 146K01 Analog input module
ABB DSAI146 Analog input unit
ABB DSAI 135 System module
ABB DSAI 120 Miniature robot
9907-028 WOODWARD control module
PROSOFT 5304-MBP-PDPM Wireless gateway
TRICONEX 3009 Enhanced Main Processor (UMP) module
2102-1201 WAGO terminal
1394-SR9A Allen-Bradley shunt
1394-SJT22-A Allen-Bradley Servo controller
6ES7626-2DG04-0AE3 SIEMENS Control system
6ES5948-3UR21 SIEMENS Processor module
6DD1683-0CC0 SIEMENS Servo driver
5X00481G01 EMERSON Interface board module
5X00241G02 EMERSON Control system
5X00226G03 EMERSON Interface module
EMERSON 5X00226G02 Fieldbus interface module
5A26458G05 EMERSON Relay output base
3BSE013208R0001 TB820V2 ABB Bus modem
3BHL000629P1005 ABB Mixed excitation synchronous motor
ABB UFC789AE101 3BHE014023R0101 Power module
3BHE006373R0101 XV-C769-AE101 ABB Control board module
3BHB007445P0001 ABB Tension control unit
3BDH001001R0001-PM-901F ABB Central processor module
3BDH000368R0001-CM-772F ABB Master station module
ABB SDSC-POW-4-SD control board
DSQC1015DSTD 150A 57160001-UH ABB Isolated analog signal input module
DSQC1015 Dc governor IO board
DSQC1000 ABB Robot host
DSQC662 ABB Input signal connection
DSQC633B ABB Serial measuring unit
DSQC633A 3HAC031851-001 ABB Switching signal
DSQC 564B ABB Controller CPU module
DSQC 561 ABB Robot servo driver
DSQC 513 ABB Robot axis computer board
DSQC 327A ABB Mixed digital-analog input/output
DSQC 223 ABB Distribution plate pressure transfer plate
CI547 ABB Processor module
AI830 3BSE008518R1 ABB axis positioning module
AI820 3BSE008544R1 ABB Redundant input module
ABB DSQC 266A Robot system
ABB DSQC 630 Accessory circuit board
ABB DSQC 369 Controller module
ABB PFSK 102 YM322001-EG Silver rolling supply unit
ABB DSTD 110A 57160001-TZ Control display panel
ABB DSTA 131 57120001-CV Control motherboard
ABB DSQC3041 Servo driver
ABB DSQC2002 FOSI 01 Robot accessories
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.