Development Of Embedded Condition Monitoring System For Rotating Machinery

Due to the rapid development of embedded technologies, developing intelligentized mechanical equipments with self-monitoring ability is becoming one of the most attractive research topics. On the basis of existing condition monitoring systems, the architecture of the embedded condition monitoring system and key issues in its realization are studied in this paper with respect to the characteristics of embedded system.Given the characteristic in limited resources of embedded system, advanced embedded operating system (OS) and digital signal processor (DSP) technology are employed to construct condition monitoring system by the C/S framework, which realize the concurrent execution among data acquisition, calculation and communication. The results validate the real-time ability and reliability for condition monitoring.The system design realizes maintainability both in hardware and software, which achieve the objective of remote system maintenance and upgrade. The designed system has opening, transplantation and universality with high flexibility.The key issues in DSP system realization are studied in the paper, including DSP fixed-point numerical caculation, mixed-programming technique and boot loader design, which fulfills the performance requirements of data acquisition and processing.The developing mode of embedded Linux system is discussed in the paper, including customization of Linux OS, kernel-programming technology based on Linux and development technology of application software based on embedded Linux, which realize high performance system.The key issues in network communication are studied in the paper. On the basis of sufficient utilization of network resource, the real-time and reliability of network communication are achieved together with encryption and integrality of data transmission, which improve the system expansibility and stability.Finally, as an example, the embedded condition monitoring system is applied to rotor test-bed condition monitoring. The result shows the system is effective and feasible.