8271-872 WOODWARD generator set speed control board

Model: 8271-872

Brand: Woodward

Delivery time: In stock

Security level: SIL2

Protection level IP: 65

Driving energy: hydraulic actuator

Customized processing: No

Origin: United States

Whether to import: Yes

Purpose: To control a steam turbine

  • Email:sauldcsplc@outlook.com
  • Phone:+86 18350224834
  • WhatsApp:+8618350224834

Description


8271-872 WOODWARD generator set speed control board

8271-872 Product Introduction

 
8271-872 Details:
 
 
The WOODWARD 8271-872 speed controller has a series of significant product features that make it an ideal choice for engine or generator speed control in industrial applications. The following are its main characteristics:
 
Wide application range: This speed controller can be used in diesel engines, gas engines, steam turbines, or gas turbines, with a wide range of applicability.
Flexible signal input: This controller can set the speed or load of the device based on computer control signals of 4-20mA or 1-5 Vdc, providing users with multiple options to meet different control needs.
Multiple working modes: This controller has two working modes: zero difference adjustment and differential adjustment.
Non differential regulation is mainly used for constant speed control and is suitable for single machine operation or multiple prime movers working together in an isolated power grid. Differential regulation provides more control flexibility.
Highly integrated: This speed controller can be used in conjunction with a range of Woodward devices, such as power automatic transferors, input-output controllers, generator load controllers, etc., to achieve more comprehensive system control.
Rich additional functions: In addition to basic speed or load control functions, the controller also has functions such as synchronous or deceleration control, high and low speed adjustment, and fuel limit for override start,
further enhancing its performance and application range.
High precision output signal: The output signal provided by the controller is proportional to the fuel setting required to achieve the desired speed/load, ensuring precise control.
Durable and sturdy: The design takes into account the complexity of industrial environments, allowing the controller to operate stably under various harsh conditions.
In summary, the WOODWARD 8271-872 speed controller plays an important role in industrial applications due to its wide application range, flexible signal input, multiple working modes, high integration,
rich additional functions, and high-precision output signals. Whether it is in the fields of generator sets, compressors, pump stations, or ships and locomotives, it can effectively ensure the stable operation of equipment within the set range.

8271-872 is manufactured by Woodward in the company”s easyYgen 3000XT series. The XT series has some updated features on the older 3000 series. Some new features include plug-in replacement,
power measurement level 1, editable screen, multi interface toolkit connection, etc. All details can be found in Woodward easyYgen manual 37582A
This model is the 3200XT-P1 (Package 1) version. A significant difference between the 8271-872 and similar 3200XT-P1-LT models is their operating temperature range.
The rated operating temperature range of this model is -20 to 70 ° C; the rated temperature range of the LT model is -40 to 70 ° C, suitable for outdoor use.
8271-872 is equipped with a monitor (not available on the 3100 model) and is designed for front panel installation.
The toolkit software used for controlling the generator set has multilingual functionality. English, French, German, and Japanese are just a few of the fourteen supported languages.
The built-in HMI has a color LCD and soft keys (now with dedicated buttons) for direct control of the 8271-872 device. Multi level password protection can prevent unauthorized changes.
The easyYgen 3000XT model 8271-872 has three freely configurable PID controllers. It provides input and output control (kW and kvar), as well as MCB and GCB synchronization (sliding/phase matching).
The generator set has four operating modes and the option to configure a manual circuit breaker control device.

How to use 8271-872?
What is 8271-872  used for?
8271-872 Customs Code

Contact Us
 
Mobile phone: 18350224834
 
E-mail: sauldcsplc@outlook.com
 
WhatsApp:+86 18350224834

0 PrefaceGermany”s “Industry 4.0″ and the United States” “Industrial Internet” will restructure the world”s industrial layout and economic structure, bringing different challenges and opportunities to countries around the world. The State Council of China issued “Made in China 2025” as an action plan for the first ten years of implementing the strategy of manufacturing a strong country, which will accelerate the integrated development of IoT technology and manufacturing technology [1]. IoT collects data on machine operations, material usage, facility logistics, etc., bringing transparency to operators. This transparency is brought about by the application of data analytics, which refers to the use of statistical and machine learning methods to discover different data characteristics and patterns. Machine learning technology is increasingly used in various manufacturing applications, such as predictive maintenance, test time reduction, supply chain optimization, and process optimization, etc. [2-4]. The manufacturing process of enterprises has gradually developed from the traditional “black box” model to the “multi-dimensional, transparent and ubiquitous perception” model [5].1 Challenges facing manufacturing analysisThe goal of manufacturing analytics is to increase productivity by reducing costs without compromising quality:(1) Reduce test time and calibration, including predicting test results and calibration parameters;(2) Improve quality and reduce the cost of producing scrap (bad parts) by identifying the root causes of scrap and optimizing the production line on its own;(3) Reduce warranty costs, use quality testing and process data to predict field failures, and cross-value stream analysis;(4) Increase throughput, benchmark across production lines and plants, improve first-pass rates, improve first-pass throughput, and identify the cause of performance bottlenecks such as overall equipment effectiveness (OEE) or cycle time;

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