Description
IS220UCSAH1A GE Steam Turbine 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.
MMII-PD-1-2-240 | GE | Multilin MCC controller
MMII-PD-1-2-120 | GE | Multilin Display motor protection system
PMA323BE | ABB | PMA323BE HIEE300308R1 Control board module
PPA322B HIEE300016R2 HIEE400235R1 Control board module
UAC389AE02 | ABB |UAC389AE02 HIEE300888R0002 Control board module
CP451-50 | Yokogawa | CP451-50 processor module
GRBTU | ABB | GRBTU 3BSE013175R1 ABB Base
3BSE005461R1 | ABB | DSPC174 3BSE005461R1 Processor board
DSPC 174 | ABB | DSPC174 3BSE005461R1 Processor board
7DI140.70 | B&R |7DI140.70 Digital input module
7AO352.70 | B&R |7AO352.70 analog output module
7AI261.7 | B&R | 7AI261.7 Analog input module
IOP114 | METSO | IOP114 Input module
1747-L553/A | AB | 1747-L553/A SLC 5/05 processor
1747-L552/A | ABB |1747-L552/A SLC 5/05 processor
216AB61 | ABB | 216AB61 HESG324013R100 Output module
216EA61b | ABB |216EA61b HESG324015R1 Output module
PFEA112-65 | ABB | PFEA112-65 3BSE050091R65 tension electronic sensor
216NG63 | ABB | 216NG63 HESG441635R1 Output module
F404002A | STEIN| F404002A VISTA bus interface module
PM866AK01 | ABB | PM866K01 3BSE050198R1 Processor unit
3500/42M 176449-02 | BENTLY | 3500/42M 176449-02 Preprocessor/seismic monitor
REU615E_D | ABB | REU615E_D voltage protection measurement and control device
2713P-T12WD | Alleny-Bradle | 2713P-T12WD1 Analog resistance touch screen
5069-AENTR | Allen-Bradley | 5069-AENTR Compact 5000 Ethernet communication adapter
SPIET800 | ABB | SPIET800 Ethernet CIU transmission module
PR9376/010-021 | EPRO | PR9376/010-021 Speed sensor
PR 9376/010-01 | EPRO | Speed sensor PR9376/010-01
PR9376/010-001 | EPRO | PR9376/010-001 Speed sensor
PR9350/12 | EPRO | PR9350/12 Thermal expansion sensor
PR9350/08 | EPRO | PR9350/08 Thermal expansion sensor
PR9350/06 | EPRO | PR9350/06 Thermal expansion sensor
PR9350/04 | EPRO | PR9350/04 Thermal expansion sensor
PR9350/02 | EPRO | PR9350/02 Thermal expansion sensor
PR9350/01 | EPRO | PR9350/01 Thermal expansion sensor
MMS 6772 | EPRO | MMS6772 Dual current module
MMS 6771 | EPRO | MMS6771 Shaft vibration monitoring panel
MMS 3910/410-01 | EPRO | MMS3910/410-01 Dual current module
MMS 3910/311-32 | EPRO | MMS3910/311-32 Dual current module
MMS 3910/311-16 | EPRO | MMS3910/311-16 Rotational speed redundant module
MMS 3910/311-08 | EPRO | MMS3910/311-08 Dual current module
MMS 3910/311-04 | EPRO | MMS3910/311-04 Rotational speed redundant module
MMS3910/311-01 | EPRO | Speed direction module MMS3910/311-01
MMS3910/311-02 | EPRO | MMS3910/311-02 Limiting latching module
MMS 3311 | EPRO | MMS3311 speed transmitter
MMS 6822 | EPRO | MMS6822 Communication board
MMS 6831 | EPRO | Communication board MMS6831
MMS 6418 | EPRO | MMS6418 expansion monitoring board
MMS 6410 | EPRO | MMS6410 expansion monitoring board
MMS 6312 | EPRO | MMS6312 speed monitoring board
MMS 6310 | EPRO | MMS6310 Key phase monitoring board
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