模式分类是许多工程领域如自控监测、图像识别、故障诊断、物料配制、医疗诊断等领域广泛应用的一种关键技术。
Pattern classification is a kind of technology used in a lot of project fields including automatic control monitor, image recognition, troubled diagnose, supplies compound, medical diagnosis, etc.
并行组合的智能化推理更能接近人类的思维模式，进一步提高设备状态在线监测诊断的智能化水平。
The parallel combined intelligent reasoning can be closer to human thinking model and improve the intelligent level of device status on-line monitoring and diagnosis.
在泵系统故障诊断与监测中的应用表明，混合型神经网络能可靠地进行水泵机组故障模式的识别。
Its application to fault diagnosis and state monitoring for a pump system shows that the hybrid neural network may recognize the fault modes in pump units reliably.
所设计的系统结构采用B/S模式，为远程用户对设备的状态监测及故障诊断提供了便利平台。
Moreover, the B/S structure is adopted in the system to provide a work site for long-distance condition monitoring and fault diagnosis.
所设计的系统结构采用B/S模式，为远程用户对设备的状态监测及故障诊断提供了便利平台。
Moreover, the B/S structure is adopted in the system to provide a work site for long-distance condition monitoring and fault diagnosis.
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