Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Diesel engine gear abnormal sound identification method based on wav file

An identification method and technology for diesel engines, which are applied in computer-aided design, instruments, complex mathematical operations, etc., can solve problems such as lack of versatility and inability to use diesel engine gear abnormal noise troubleshooting, etc., to achieve efficient data collection and processing, and reduce quality. Inspection steps, quick and targeted effect

Pending Publication Date: 2021-11-05
上海新动力汽车科技股份有限公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This patent is used for the troubleshooting of gear abnormal sound of diesel generator sets, not a single diesel engine, and the premise of this troubleshooting method is that the initial state of the diesel engine generator set is fault-free, and there are obvious faults after use. This method The application scenario is special, not universal, and cannot be used for troubleshooting the abnormal noise of diesel engine gears in the production stage

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Diesel engine gear abnormal sound identification method based on wav file
  • Diesel engine gear abnormal sound identification method based on wav file
  • Diesel engine gear abnormal sound identification method based on wav file

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0074] Whether the diesel engine of the model D20 is delayed, the noise sensor 4 used in this embodiment is BK 1 / 2 "SERIAL NO: 3023196), the noise sensor 4 is mounted on the free end of the diesel engine 3 At 20cm above, the model number of the signal recorder 2 is ZSY2048.

[0075] The WAV noise audio file of N = 28 diesel engine 3 (labeled 1 # -28 #) is collected by the noise sensor 4, respectively, and the 28 diesel engine 3 is qualified.

[0076] FFT transformations are performed on 28 WAV noise audio files, and the model parameters XI1, XI5, XI6 are obtained. The signals after the fast Fourier transform are normalized, and the model parameters XI2, XI3, XI4, I∈ [1, 28].

[0077] Calculated according to equations (1) to (5):

[0078] JOURNAL OF PATHOPHYSIOLOGY.

[0079] beta 0 .

[0080] beta 1 BA.

[0081] beta 2 BA.

[0082] ......

[0083] beta 27 JOURNAL OF ANIMAL SCIENCE AND VETERINARY MEDICINE.

[0084] = 0.02937962032596890.

[0085] Thus the model relationship:

[0086]...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a diesel engine gear abnormal sound recognition method based on a wav file. The method comprises the following steps step 1, arranging a noise sensor (4) above a diesel engine (3) to collect a wav noise audio file; step 2, transmitting the wav noise audio file to a computer (1) through a signal recorder (2); step 3, collecting wav noise audio files of N diesel engine samples, and recording gear abnormal sound fault states corresponding to the wav noise audio files; step 4, establishing a gear abnormal sound recognition model based on the N wav noise audio files, wherein the input of the gear abnormal sound recognition model is the wav noise audio files, and the output of the gear abnormal sound recognition model is a judgment value Y; and step 5, inputting any wav noise audio file of the diesel engine into the gear abnormal sound recognition model, and judging whether the diesel engine is qualified or not according to the judgment value Y. According to the invention, the on-line product qualification condition can be checked in real time during diesel engine production, the troubleshooting accuracy is high, and the production rate of the diesel engine is not affected.

Description

Technical field [0001] The present invention relates to a method of failure detection of diesel engines, and more particularly to a Wav (Wave form, ie waveform) file based diesel engine gearis index method. Background technique [0002] Abnormal sound is a common fault of diesel engines, for example: gear meshing aloud, excessive diesel gaps are too large or too small, and the cylinder pad is iseonded. Among them, the cause of the gear meshing is more complicated, the shape and position error of each gear hole, the gear eccentric error, the tooth error, the tooth error, etc., the periodic impact and the non-periodic vibration of the gear engagement, thereby producing Periodic and non-periodic gears meshing aloud. [0003] The main method of identifying gears in the prior art is: Professional testing and analysis software developed by Siemens, BK, Land, etc., but these software require NVH 's theoretical knowledge, through complex FFT, order, COLORMAP and other techniques and expe...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F17/14G06F119/02G06F119/10
CPCG06F30/20G06F17/142G06F2119/02G06F2119/10
Inventor 杨卫东李芳曹继民朱鸿
Owner 上海新动力汽车科技股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products