Vibration data collection and fault analysis system of networking portable type steam turbine set

Abstract

The invention discloses a vibration data collection and fault analysis system of a networking portable type steam turbine set, comprising an ARM (Advanced RISC Machine) main control module, a power supply module, a fault diagnosis module and a signal conditioning module, wherein the signal conditioning module is used for preprocessing shazam signals and key-phase signals transmitted by a sensor; the output end of the signal conditioning module is connected with a synchronous shazam-signal collection module which can be used for collecting key phases of the multipath synchronous shazam signals; the output end of the synchronous shazam-signal collection module is connected with the ARM main control module in a communication mode by a bus; the fault diagnosis module is used for receiving anddiagnosing data transmitted by the ARM main control module by the bus; a diagnosis result is fed back to the ARM main control module by the bus; the power supply module is used for supplying power tothe signal conditioning module, the synchronous shazam-signal collection module and the ARM main control module by the bus; and the bus is a PC / 104 parallel bus. The invention has the advantages of compact and small structure, high processing efficiency and good use flexibility, is convenient to carry and can be networked with other systems to dynamically distribute tasks.

Description

technical field [0001] The invention relates to a vibration data collection and fault analysis system for local measuring points of a steam turbine unit, belonging to the field of steam turbine state monitoring and fault diagnosis. Background technique [0002] Thermal power generation accounts for the majority of my country's total power generation, and the steam turbines responsible for thermal power generation are mainly supercritical and ultra-supercritical steam turbine units. The operation of the steam turbine unit will be directly related to people's normal production and life. Taking a 600MW steam turbine as an example, once it fails and shuts down, it may affect the lighting electricity consumption of 600,000 residents. Therefore, the real-time monitoring of the operation of the steam turbine and the analysis and diagnosis of its faults are of great significance to ensure the good operation of the steam turbine, reduce the cost of the enterprise, and ensure the nor...

AI Technical Summary

Problems solved by technology

The existing steam turbine vibration data acquisition and fault analysis systems can be roughly divided into two categories: one is the steam turbine vibration data acquisition and fault analysis system used in conjunction with the industrial control computer (IPC). The industrial control computer system composed of multiple modules of the bus, due to the use of the serial bus, has the disadvantage of not being compact enough, and most of them are independent single systems, which are not convenient to network with other systems to dynamically allocate tasks, so the processing efficiency is low. Good, not flexible enough

The other is the vibration data acquisition and fault analysis system of steam turbine based on the embedded system. This type of system has the characteristics of compact structure and low power consumption, but the system processing capacity is weak, and a single device can only process a single pre-set task

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