Online monitoring and fault diagnosis system of large wind turbine units

Abstract

The invention discloses an online monitoring and fault diagnosis system of large wind turbine units. A sensor and data collection equipment are installed on a wind turbine unit to be detected, so as to collect equipment operation state characteristic signals, such as video signals, noise signals, flame signals, electric signals, vibration signals and pressure signals, of the wind turbine unit, and transmits the state characteristic signals to a central control room of a wind power plant through a network in real time; and operation and maintenance personnel can know the operation state of the wind turbine unit at any time in the central control room of the wind power plant, and can directly analyze signal data of the abnormally operated wind turbine unit, so that operation conditions of gear boxes, main shafts, generators, bearings, hydraulic systems, yaw systems, bearing lubricating systems, brake systems, blades and towers of all units in the wind power plant are monitored in real time and failure warning information is output. Data can also be transmitted to a remote fault diagnosis center through a network, a project team performs professional analysis to faults and issues a diagnosis report, and a field maintenance team performs corresponding repair / maintenance operation.

Description

technical field [0001] The invention relates to a wind power generator set, in particular to an online monitoring and fault diagnosis system for a large wind power generator set. Background technique [0002] While wind power generation in our country has a good development prospect, it is also facing its inherent problems, among which the operation failure of wind turbines is an important reason restricting wind power generation and needs to be solved urgently. The maintenance methods adopted by wind farms in my country are mostly regular maintenance and after-event maintenance, which makes the maintenance cost of wind turbines high for a long time. [0003] At present, there is no complete and effective online monitoring and fault diagnosis system for wind turbines in my country, which has become a major problem in the development of wind power in our country. The domestic fault diagnosis of wind power generation system is still in its infancy. The existing fault diagnosi...

AI Technical Summary

Problems solved by technology

[0004] The present invention overcomes the shortcomings in the above wind turbine monitoring and diagnosis technology, and provides an online monitoring and fault diagnosis system for large wind turbines. Through on-site and remote monitoring technology, monitoring equipment can obtain vibration signals, video signals, and noises of the wind turbine operating status. signal, flame signal, electrical signal, pressure signal and other characteristic signals, realize the extraction of multiple fault signals through multiple channels, grasp the real-time operation status information of the wind turbine through multiple channels, and then detect the faults of the wind turbine early, without dismantling the wind turbine According to the engineering experience and data accumulation, a variety of signal analysis methods are used to judge the state of the wind turbine, and to diagnose the fault of the wind turbine and its development and change, so as to determine the nature, degree, category and nature of the equipment fault. location, clarify the fault symptoms, causes and the relationship between the system, and indicate the fault development trend

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