Fault diagnosis system and method for mechanical parts of small-size unmanned helicopter

A fault diagnosis system, unmanned helicopter technology, applied in the testing of mechanical components, testing of machine/structural components, measuring devices, etc., can solve problems such as lack of research on fault diagnosis, unimaginable losses, unexpected situations, etc., to reduce Experimental items, saving manpower, and avoiding accidents

CN105928695AInactive Publication Date: 2016-09-07CHINA UNIV OF MINING & TECH
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2016-09-07
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a fault diagnosis system and method for mechanical parts of a small-size unmanned helicopter, and belongs to the fault diagnosis system and method for mechanical parts. The method employs the corresponding relation of a fault and a vibration signal of the small-size unmanned helicopter, and achieves the judgment whether some mechanical parts of the small-size unmanned helicopter have faults or not through the analysis of the vibration signal. The method achieves the manual specified characteristic learning of the vibration signal based on the self-learning performance of a multilayer neural network machine learning algorithm. The method enables the vibration signal, measured by a three-direction acceleration sensor in real time, of the small-size unmanned helicopter to be transmitted to an upper computer through a matched wireless receiving and transmitting device. The upper computer enables the data to be inputted to a trained neural network, and judges whether these faults happen or not, such as main propeller wear, auxiliary wing wear, tail pipe bending, tail steering engine pull rod bending, tail steering engine pull rod falling, tail wing wear, and main shaft bending. The method obtains the health conditions of parts of the small-size unmanned helicopter in real time, and avoids big accidents. The method is high in reliability, and is great in popularization value.
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Description

technical field

[0001] The invention relates to a fault diagnosis system and a fault diagnosis method for mechanical parts, in particular to a fault diagnosis system and a fault diagnosis method for small helicopter mechanical parts. Background technique

[0002] With more and more research on small unmanned helicopters, the real-time fault diagnosis of small unmanned helicopters is an inevitable problem to be solved in its development. Today's small unmanned helicopter fault diagnosis technology mainly has the following problems: firstly, it lacks real-time performance, The fault diagnosis of small unmanned helicopters is mainly to check on the ground when returning to the voyage, and lacks real-time judgment on whether a fault occurs; in addition, today's fault diagnosis of small unmanned helicopters mainly focuses on the fault diagnosis of sensors and transmission systems. Fault diagnosis of other mechanical components of small unmanned helicopters is lack of research. T...

Examples

Embodiment 1

[0028] Embodiment 1: as Figure 5 As shown, there are a first three-way accelerometer 7, a second three-way accelerometer 8, a wireless transmission device 9, an acceleration acquisition module 10 and a lower computer on the UAV model. In the ground control system of the unmanned helicopter, there is a Wireless receiving device, display module, alarm module and upper computer.

[0029]The small unmanned helicopter component fault diagnosis system includes a wireless transmission device, a vibration measurement device, a display module, an alarm device, and a control module; the vibration measurement device, that is, a three-way acceleration sensor is pasted on the drone, and the three-way acceleration sensor is connected to On the acceleration acquisition module, the acceleration acquisition module is inserted into the chassis with a 2.4GHz omnidirectional antenna, that is, the wireless sending device, which sends information to the ground controller in real time, thereby real...