Description
DS200FPSAG1ABB General Electric Processor Board Mark VI
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.
5SHX1445H0001 5SXE05-0152 ABB
5SHX1445H0001 3BHB003230R0101 ABB
5SHX1445H0001 3BHL000391P0101 3BHB003230R0101
5SHX1445H0001 3BHL000391P0101 ABB
5SXE05-0152 IGCT module ABB
3BHB003230R0101 IGCT module ABB
3BHL000391P0101 IGCT module ABB
5SHX1445H0001 IGCT module ABB
3BHL000387P0101 IGCT module ABB
5SHX1445H0002 IGCT module ABB
5SHX1445H0002 3BHL000387P0101 ABB
5SHX14H4502 3BHB003230R0101 5SXE05-0152 3BHB003023P201AEND:B
5SHX14H4502 3BHB003230R0101 5SXE05-0152
5SHX14H4502 5SXE05-0152 ABB
5SHX14H4502 3BHB003023P201AEND:B
5SHX14H4502 3BHB003230R0101 ABB
3BHB003023P201 AEND:B IGCT module
3BHB003230R0101 IGCT module ABB
5SHX14H4502 IGCT module ABB
3BHL000390P0104 IGCT module ABB
5SHX1960L0004 IGCT module ABB
5SHX1960L0004 3BHL000390P0104 ABB
5SHX2645L0004 5SXE04-0150 GVC707AE01
5SHX2645L0004 3BHB003154R0101 ABB
5SHX2645L0004 3BHL000389P0104 3BHB003154R0101
5SHX2645L0004 3BHL000389P0104 ABB
5SXE04-0150 GVC707AE01 ABB
3BHB003154R0101 IGCT module ABB
3BHL000389P0104 IGCT module ABB
5SHX2645L0004 IGCT module ABB
336A4954ARP1 IGCT module ABB
5SHY3545L0003 IGCT module ABB
5SHY3545L0003 336A4954ARP1 ABB
5SHY3545L0005 336A4954ARP2 ABB
336A4954ARP2 IGCT module ABB
5SHY3545L0005 IGCT module ABB
GVC750BE101 IGCT module ABB
3BHE009681R0101 IGCT module ABB
3BHB013085R0001 IGCT module ABB
5SHY3545L0009 IGCT module ABB
5SHY3545L0009 GVC750BE101 ABB
5SHY3545L0009 3BHE009681R0101 ABB
5SHY3545L0009 3BHB013085R0001 ABB
5SHY3545L0009 3BHB013085R0001 3BHE009681R0101
5SHY3545L0009 3BHB013085R0001 3BHE009681R0101 GVC750BE101
5SHY3545L0010 GVC750BE101 ABB
5SHY3545L0010 3BHE009681R0101 ABB
5SHY3545L0010 3BHE009681R0101 GVC750BE101
5SHY3545L0010 3BHB013088R0001 3BHE009681R0101 GVC750BE101
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