Description
469-P5-HI-A20-E-H Motor protection system
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.
140HLI34000 digital output module
140EHC20200 SCHNEIDER high speed counter module
140NOM21100 SCHNEIDER Temperature input module
140NOE77111 SCHNEIDER DCS spare parts
140MSB10100 SCHNEIDER DCS spare parts
140NOE77101 Digital output module
140EHC20200 SCHNEIDER power controller
140HLI34000 SCHNEIDER digital output module
140EHC10500 SCHNEIDER Communication module
140DRC83000 SCHNEIDER analog module
140DRA84000 SCHNEIDER Relay module
140DDO88500 Schneider DCS card
140CRA31200 SCHNEIDER I/O module
140CPU65260 SCHNEIDER Driver module
140CPU65150 Indicates the output module
140CPU43412A SCHNEIDER Control system module
140CPU43412 SCHNEIDER Frequency converter module
140CPU31110 SCHNEIDER CPU module
140CPU11302 SCHNEIDER Servo servo module
140CPS12420 Schneider Distributed control
140CPS12400R Schneider Simulation module
140CPS11420 Processor module
140CPS11410 SCHNEIDER Controller module
140CPS11400 SCHNEIDER Analog quantity expansion module
140CHS11000 SCHNEIDER Digital output module
140ACO13000 SCHNEIDER Analog output module
140ACO02000 SCHNEIDER Analog output module
140ACI03000 SCHNEIDER Digital output module
SR469-P5-HI-A20-H GE SR469 Motor management relay
140CPU67160 SCHNEIDER Control module spare parts
140XCP51000 Schneider Channel digital output
140XBP01600 Schneider Digital quantity module
140ACO13000 Schneider Adapter module
140AVI03000 Schneider Channel digital input
SCHNEIDER 140DDI84100 channel analog input
140DDO84300 Schneider Input output module
ILB-BT-ADIO-221616 PHOENIX Wireless IO module
140CPS12420 SCHNEIDER Main communication module
140CRA93200 Schneider Driver module
140CPU67160 SCHNEIDER Analog input output
IC694MDL753 GE High density discrete output module
NI-9263 NI C series voltage output module
140DDO88500 channel digital output
140DRC83000 Spare parts of the control module
140DDO84300 analog input card
140DDI85300 SCHNEIDER Digital quantity module
140DDI84100 SCHNEIDER Channel digital input
140DDI35310 SCHNEIDER Channel analog input
140DDI35300 SCHNEIDER driver module
140DDI35300 SCHNEIDER PLC- Supply module
140DAO84210 SCHNEIDER Input output module
140DAI55300 SCHNEIDER analog input/output module
140DAO84000 Main communication module
140DAI54000 SCHNEIDER Main board
140CRP81100 SCHNEIDER Driver module
140CRA93100 SCHNEIDER Analog input output
140CRA21210 SCHNEIDER Programmable control system
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.