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针对流程工业设备诊断技术的开发、研究和应用现状，较全面地分析了在建立流程工业设备诊断系统中实现综合化、智能化和网络化的问题，以及通过人工神经网络应用技术的开发研究来提高设备综合诊断系统的智能水平问题和快速响应与自组织／自学习神经网络模型的选择问题。为开发研究智能型流程工业设备综合诊断系统提供了依据。
Aiming at the status quo of the development, research and application of diagnostics for process industrial equipment, this paper comprehensively analyzes the problems of realizing the integration, intelligentization and networking in the process industrial equipment diagnostic system, and through the research and development of artificial neural network application technology Improve the intelligent level of equipment integrated diagnostic system and quick response and self-organization / self-learning neural network model selection problem. It provides the basis for the research and development of intelligent process industrial equipment comprehensive diagnosis system.