Allicdata Part #: | WO-00309-ND |
Manufacturer Part#: |
WO-00309 |
Price: | $ 0.00 |
Product Category: | Uncategorized |
Manufacturer: | Hirose Electric Co Ltd |
Short Description: | CONN |
More Detail: | N/A |
DataSheet: | WO-00309 Datasheet/PDF |
Quantity: | 1000 |
1 +: | 0.00000 |
Series: | * |
Part Status: | Obsolete |
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WO-00309 is a new technology designed to improve the performance of multiple automated processes. This technology utilizes an active control system, which employs an adaptive artificial neural network (ANN) to provide real-time feedback and control the system\'s work output in a manner that optimizes the desired processes. This system is designed to optimize the coordination, management, and control of multiple processes in a wide range of applications that require simultaneous and independent control of multiple operating components.
The WO-00309 application field centers around the automation of complex systems, designed to optimize physical output and processing times. Examples of this type of application include pharmaceutical manufacturing, electrical engineering, system integration, industrial manufacturing, and production automation. In addition, the WO-00309 technology can be applied to control multiple robotic systems operating simultaneously in a factory environment, as well as other automated systems that require real-time feedback and control.
The WO-00309 technology operates on the premise of "feedback control", which is a set of principles used to control a system\'s operation. This type of technology uses a combination of input signals, system parameters, and actuators to achieve the desired system performance. Additionally, the ANN is used to provide control of the system, so that it can adjust the output in response to changing conditions. This helps to ensure that the output is stabilized and kept within predetermined acceptable performance requirements.
The WO-00309 application works by monitoring an input signal, such as a pressure or temperature signal, and the system parameters, which are also known as "update points". Once the appropriate system parameters are set, the artificial neural network uses a pattern recognition and training algorithm to learn and adapt to new inputs. The control system is then able to adjust the system output based on the system parameters and input signals, so as to maintain an optimal performance level.
The main advantage of the WO-00309 technology is that it eliminates the need for manual adjustment of system parameters, and reduces the complexity of controlling multiple automated processes. This technology saves costs by reducing the need for skilled operators, maintenance, and reprogramming of systems, as well as reducing the need for time consuming manual adjustments. This system is also capable of controlling a wide range of systems simultaneously, improving the efficiency and performance of multiple processes.
The WO-00309 technology has been successfully implemented in a variety of industries, ranging from industrial automation, production automation, and system integration to pharmaceutical manufacturing and electrical engineering. This technology is also suitable for controlling multiple robotic systems operating in a factory environment.
The WO-00309 technology offers a wide range of advantages over traditional control systems, including real-time feedback, reduced complexity, and improved performance of multiple processes. This technology is a safe and reliable way of controlling multiple processes, while reducing operating costs and improving system performance.
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DIODE GENERAL PURPOSE TO220
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