Diagnosis method for loose thrust head of hydro-generator set based on online data

Abstract

The invention discloses a hydroelectric generating set thrust block looseness fault diagnosis method based on online data. The method comprises the following steps that (1) the swing throw of a set, the value of 1X component vibrating radially and the phase position of the 1X component in the normal start-up, stopping and load changing processes are obtained through the online monitoring recorded data; (2) calculation are conducted in sequence, that is, the swing throw of the set, the radial vibration peak-to-peak value, the value of the 1X component, the phase position of the 1X component, the radial vibration peak-to-peak value swing amount, the 1X component value swing amount and the phase position swing amount of the 1X component are calculated one by one; (3) the maximum variation and the maximum swing amount of the parameters in the processes of start-up, stopping and load changing are calculated; and (4) the values are compared with preset values, and whether a set thrust block looseness fault exists or not is diagnosed according to the comparison results. The thrust block looseness related data can be automatically selected for automatic analysis and statistical judgement, and the analysis, evaluation and diagnosis results are given.

Description

technical field [0001] The invention relates to a fault diagnosis method for a hydroelectric generator set. More specifically, the present invention relates to a method for diagnosing the loose fault of the thrust head of the hydraulic generator set based on online data. Background technique [0002] The looseness of the thrust head of the hydro-generator set refers to the gap between the inner hole of the thrust head and the journal. When the thrust head is loose, the characteristics of the vibration and swing of the unit are: the dynamic axis attitude of the unit will change suddenly when the unit is running, and the vibration and swing of the unit will fluctuate, showing an unstable state. Moreover, the looseness of the thrust head will also bring difficulties to the cranking of the unit. [0003] However, most of the current monitoring and diagnosis systems focus on the monitoring and fault diagnosis of steam turbines and other rotating mechanical equipment, and there ...

AI Technical Summary

Problems solved by technology

This diagnosis method has neither the support of the mathematical model nor the accuracy of the algorithm, which not only wastes manpower and time, but also has certain defects in the objectivity and accuracy of data selection, and there are also defects in the analysis and diagnosis results of the system. certain error

Images