Description
531X124MSDAJG2 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.
Excitation system ABB module PMKHRMMCL10
Excitation system ABB module PMKHRMBRC3000B
Excitation system ABB module PMKHRMBRC3000A
Excitation system ABB module PMA323BE HIEE300308R1
Excitation system ABB module PMA323BE HIEE300308R1
Excitation system ABB module PM902F 3BDH001000R0005
Excitation system ABB module PM902F
Excitation system ABB module PM902F
Excitation system ABB module PM902F
Excitation system ABB module PM901F
Excitation system ABB module PM891K01 3BSE053241R1
Excitation system ABB module PM891K01
Excitation system ABB module PM891K01
Excitation system ABB module PM891 3BSE053240R1
Excitation system ABB module PM876
Excitation system ABB module PM876
Excitation system ABB module PM875-2
Excitation system ABB module PM867K01
Excitation system ABB module PM866K02 3BSE050199R1
Excitation system ABB module PM866K02
Excitation system ABB module PM866K02
Excitation system ABB module PM866K01 3BSE050198R1
Excitation system ABB module PM866K01
Excitation system ABB module PM866K01
Excitation system ABB module PM866K01
Excitation system ABB module PM866AK02 3BSE081637R1
Excitation system ABB module PM866AK02
Excitation system ABB module PM866AK02
Excitation system ABB module PM866AK01 3BSE076939R1
Excitation system ABB module PM866AK01 3BSE050198R1
Excitation system ABB module PM866AK01 3AUA0000052519
Excitation system ABB module PM866AK01
Excitation system ABB module PM866AK01
Excitation system ABB module PM866AK01
Excitation system ABB module PM866A
Excitation system ABB module PM866-2 3BSE050201R1
Excitation system ABB module PM866 3BSE050200R1
Excitation system ABB module PM866 3BSE050200R1
Excitation system ABB module PM866
Excitation system ABB module PM866
Excitation system ABB module PM866
Excitation system ABB module PM865K02 3BSE031150R1
Excitation system ABB module PM865K02
Excitation system ABB module PM865K02
Excitation system ABB module PM865K01 3BSE031151R1
Excitation system ABB module PM865K01 3BSE031151R1
Excitation system ABB module PM865K01
Excitation system ABB module PM865K01
Excitation system ABB module PM864K01
Excitation system ABB module PM864AK02
Excitation system ABB module PM864AK02
Excitation system ABB module PM864AK01 3BSE018161R1
Excitation system ABB module PM864AK01 3BSE018161R1
Excitation system ABB module PM864AK01 3BSE018161R1
Excitation system ABB module PM864AK01
Excitation system ABB module PM864AK01
Excitation system ABB module PM864AK01
Excitation system ABB module PM864A 3BSE018162R1
Excitation system ABB module PM864A
Excitation system ABB module PM864A
Excitation system ABB module PM864A
Excitation system ABB module PM864
Excitation system ABB module PM863K02
Excitation system ABB module PM862K02 3BSE081636R1
Excitation system ABB module PM862K01
Excitation system ABB module PM861K02
Excitation system ABB module PM861K01
Excitation system ABB module PM861K01
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.