Position sequence sampling device and method based on compound information sensor gearbox

Abstract

The invention discloses a gearbox position sequence sampling device and method based on complex information sensors. The fiber optic sensors are evenly distributed on the tooth roots of a gear, the signal output end of each fiber optic sensor is connected with the signal input end of an optical signal measuring and processing unit, and gear root strain position sequence testing is conducted by means of the optical signal measuring and processing unit; a gear tooth meshing triggering point is obtained by searching for an inflection point, and pulse triggering is provided for vibration acceleration position sequence and temperature position sequence acquisition; the vibration acceleration sensors are distributed on a bearing seat and a gearbox casing, the signal output end of each vibration acceleration sensor is connected with the vibrating signal input end of a signal acquiring and processing unit, the temperature sensors are soaked in the engine oil of the gearbox casing, the signal output end of each temperature sensor is connected with the temperature signal input end of the signal acquiring and processing unit, and vibration position sequence and temperature position sequence sampling testing is achieved by means of the pulse triggering provided by the strain position sequence.

Description

technical field [0001] The invention relates to the field of automation, in particular to a position sequence sampling device and method based on a compound information sensor gearbox. Background technique [0002] The gearbox is an important component of the transmission system and is widely used in construction machinery, ships, aerospace and other fields. As a core transmission component, the health of the gearbox directly affects the normal operation of mechanical equipment. Due to extreme working environments such as variable speed and load and high oil temperature, gearboxes often lead to failures such as gear cracks, spalling, pitting, and even broken teeth, which greatly reduces the stability of the gearbox's working performance, and in severe cases, it will cause catastrophic consequences. [0003] At present, many scholars have carried out a series of research on gearbox fault diagnosis, often by arranging vibration acceleration sensors on the gearbox bearing housi...

AI Technical Summary

Problems solved by technology

Due to extreme working environments such as variable speed and load and high oil temperature, gearboxes often lead to faults such as gear cracks, spalling, pitting, and even broken teeth, which greatly reduces the stability of the gearbox’s working performance, and in severe cases, it will cause catastrophic consequences.

[0003] At present, many scholars have carried out a series of research on gearbox fault diagnosis, often by arranging vibration acceleration sensors on the gearbox bearing housing and the substrate to pick up the time-domain vibration signal of the gearbox, through time-domain parameters, frequency-domain characteristics and some intelligence The algorithm evaluates the health status of the gearbox; in addition, some scholars are currently conducting research on multi-information fault diagnosis, and at the same time collect time-domain vibration signals, temperature signals, and noise signals of mechanical equipment to diagnose the health status of the equipment, and Some success, but less use in gearbox diagnostics

[0004] To sum up, the current fault diagnosis of gearboxes is mainly based on the time-domain sampling method, which leads to problems such as inaccurate positioning and ambiguous frequency of the time-domain sampling of the gearbox under complex working conditions such as variable speed and variable load; There are many factors affecting the health status of the gearbox, and it is obviously insufficient to judge by vibration signals alone, and the general vibration measurement is a wide-area signal. The measured vibration signal cannot accurately reflect the vibration source information, which makes it very difficult to determine the health status of the gearbox

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