Description
IS220PAICH1B Reliable Turbine Control Solutions
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.
UFC789AE101 FSCD-BOARD,COATED
PD D163 A03 Current Transducer Control Board ABB PDD163A03
UU D148 AE02 Current Transducer Control Board ABB
UU D148 AE01 Voltage Transducer Control Board
PD D163 A03 INTBOARD MAIN MOD
UD C920 AE ASE2 (ANTI SATURATION) ABB
UA D149 A00-0-11 AC 800PEC Combi IO
XVC904A101 ADAPTER PECINT
XDC903A101 AMC33-DONGLE PCB ABB
GV C736 BE101 Gate Unit 91mm ABB
KV C757 A124 IPS SINGLE VOLTAGE 24V ABB
KV C757 A127 SINGLE VOLTAGE27V
UB C717 BE101 OVVP-Board Coated ABB
KV C758 A124 VOLTAGE SUBPRINT ABB
GV C713 A101 Gate Unit 51mm ABB
GF D233 A 3BHE022294R0103 ABB PEC80 LIN
Controller Board AC 800PEC PP D113 B03-20-110110 ABB
AC 800PEC Controller Board PP D113 B03-23-110110
ABB Controller Board AC 800PEC PP D113 B03-24-110110
PP D113 B03-25-110110 AC 800PEC Controller Board
PP D113 B03-26-110110 Controller Board AC 800PEC ABB
PP D113 B13-23-661711 ABB Controller Board AC 800PEC
5SHY 3545L0014 GCT MODULE 4500V, 91MM ABB
GD C801 A101 Rigi Crowbar Drive PCB Var
UD C920 AE ANTI SATURATION ABB
GD C806 A01 Gate Driver ABB
GD C806A Gate Driver HA C807A ABB GDC806A0101
DD C779 CE102 RETRO- PINT (ACS) 3BHE027859R0102 ABB
XV C772 A102 HVD- BOARD VARNISHED ABB
XV C772 A101 HVD- BOARD VARNISHED ABB
GC C960 C101 PCB VARNISHED ABB
GC C960 C102 PHASE INTERFACE BOARD ABB GCC960C102
GC C960 C103 ABB PHASE INTERFACE BOARD
UD C920 BE101 ASE2B WITH HOUSIN UDC920BE101
UFD402A101 Controller module ABB
GV C736 CE101 ABB GATE DRIVER BOARD GVC736CE101
PP D513 A24-110110 ABB AC 800PEC Controller
UF C092 BE01 HIEE300910R0001 Binary Input
UF C719 AE01 3BHB003041R0001
UF C718 AE01 HIEE300936R0001 MAIN CIRCUIT INTE INT
UF C921 A101 3BHE024855R0101 INT-2 Board Varnished
UF C719 AE 3BHB003041R0101 I/O CONTROL BOARD IOEC
UF C721 BE101 3BHE021889R0101 ADCVI-Board Coat
UFC911B106 3BHE037864R0106 ABB
UF C760 BE43 3BHE004573R0043 ABB MAIN CIRC. INTER.
U FC760 BE42 3BHE004573R0042 ABB CONVERTER CONTROL
UFC762AE101 3BHE006412R0101 ABB CVMI
PP C381 CE01 ABB CONVERTER CONTROL PPC381CE01
3BHE007599R0101 ABB CONVERTER CONTROL
UA A326 AE04 ABB UAA326AE04 HIEE300024R0004 Input Output Unit
PP B022 CE ABB PPB022CE HIEE300550R1 PSR CONTROLLER
UPC090AE01 HIEE300661R0001 ABB FIELDBUS COUPL
PP B022 DE01 ABB PPB022DE01 PSR CONTROLLER
LD MUB-01 ABB LDMUB-01 UNIT BOARD
UB C717 AE01 ABB UBC717AE01 OVERVOLTAGE MEASU OVVP
UNS 0017A-P ABB UNS0017A-P HIEE305106R0001 FIRING UNIT
LD CCB-01 ABB LDCCB-01 ONVERTER CONTROL BOARD
PP C380 AE01 ABB PPC380AE01
PP C902 AE01 ABB PPC902AE01 processor fieldbus
PP C322 AE ABB PC BOARD PPC322 AE
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