1. Model and ventilator performance online monitoring Based on neural network and mechanism ventilator performance monitoring combined model, successfully overcome the lack of accurate measurement of fluid flow through large diameter. In addition, with the popularization of distributed control systems (DCS) in power plants, the comprehensive utilization of information in DCS has become a new research direction. Taking into account the existing information in the DCS, combined with the on-site DCS system, only the fan inlet and outlet differential pressure sensor needs to be installed to complete the comprehensive monitoring of the important performance parameters of the fan. The fan regulator opening, speed, and motor side parameters required for performance monitoring can be accomplished by neural network-based ventilator performance monitoring combined modeling DCS communication.

2. Model and Ventilation System Pipe Network Fault Diagnosis In the actual operation of the power plant ventilation system, due to the operational complexity of the flue gas system, clogging and leakage in the pipe network sometimes occur. It can be seen from the above analysis that the model obtained above is a model for characterizing the performance characteristics of the ventilator itself, and has high sensitivity to failures in the pipe network that cause changes in pipe network resistance. The comprehensive resistance coefficient U of the pipe network resistance characteristic curve obtained by the model monitoring and the pressure signal of the important equipment inlet and outlet of the existing flue gas system in the DCS (furnace pressure, superheater, economizer, air preheater, dust collector, fan outlet) Pressure, etc., can constitute the feature vector of pipeline network fault diagnosis, and establish an online learning model of recurrent neural network suitable for real-time modeling, which can complete the diagnosis of the ash blocking and air pre-leakage of different parts of the pipe network system.

in conclusion

(1) The artificial neural network is used to fit the surface of the through-modulation performance curve with the form transformation, and the fitting precision is high, which can fully meet the engineering application.

(2) Established a model of ventilator performance monitoring modeled by neural network combined with DCS. The model is suitable for the fan to operate within the similar law. For the model of the shifting situation, the fan similarity theory is used. Relationships can be exported.

(3) This method can solve the faults such as surge prediction and rotational separation diagnosis when studying the law of the small flow area of ​​the ventilator.

Fittings and Parts of Crushing Machines

There are several fittings and parts commonly found in crushing machines, including:

1. Jaw Plates: These are the main wear-resistant parts of the crushing machine. They are fixed on the jaw body and provide the crushing surface for the material.

2. Toggle Plates: These plates are connected to the toggle beam and help in adjusting the opening of the crusher. They also protect the machine from overloading.

3. Eccentric Shaft: This is a critical component that provides the rotational motion to the jaw crusher. It is usually made of high-grade forged steel and is responsible for transmitting the crushing force to the material.

4. Flywheel: The flywheel is a heavy metal wheel attached to the eccentric shaft. It helps in maintaining the momentum of the crushing machine and reduces the load fluctuations during the crushing process.

5. Bearings: Bearings are used to support the rotating components of the crushing machine, such as the eccentric shaft and the flywheel. They ensure smooth operation and reduce friction.

6. Crushing Chamber: The crushing chamber is the space between the fixed jaw plate and the movable jaw plate. It is where the actual crushing of the material takes place.

7. Wedges: Wedges are used to adjust the gap between the fixed and movable jaw plates. They help in controlling the size of the crushed material.

8. Springs: Springs are used to provide the necessary force for the jaw plates to return to their original position after crushing the material.

9. Belt and Pulley System: This system is used to transmit power from the motor to the crushing machine. It consists of a belt connected to the motor and pulleys attached to the flywheel and eccentric shaft.

10. Guard Plates: Guard plates are used to protect the crushing machine from damage caused by foreign objects or excessive wear.

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