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Method for identifying signs of faults occurred to electric tools

A technology for electric tools and fault identification, which is applied in the use of sound waves/ultrasonic waves/infrasonic waves for material analysis, registration/indication of vehicle operation, and vibration measurement, etc., which can solve the problems of low operating stability, low cost, and electric tool positioning / Inaccurate classification and other issues to achieve the effect of saving location space

Inactive Publication Date: 2015-10-28
ROBERT BOSCH GMBH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Such methods or devices known from the prior art for symptom recognition of at least one power tool fault are therefore not only imprecise with regard to the specific localization / classification of the fault in the power tool, but also otherwise The cost is not too cheap and the operation stability is not high

Method used

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  • Method for identifying signs of faults occurred to electric tools

Examples

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Embodiment Construction

[0049] exist figure 1 An exemplary embodiment of a device 101 described here for symptom recognition of a malfunction of a power tool 1 is shown in a schematic diagram.

[0050] The device described here comprises a microphone 3 , a system 4 for user interaction, a system 5 for signal processing, a system 6 for fault detection and a database 7 .

[0051] In this case, the user initiates the start of the diagnostic function in a first step via the system 4 for user interaction. In this case, the system may include at least one interface with which the user can optionally specify additional information (eg device type, serial number).

[0052] In a next step, the system 5 for signal processing receives noise 2A from the power tool 1 to be tested, which noise 2A is converted by the microphone into a corresponding audio signal 2B, which is extracted by suitable filtering and feature extraction. Edit these audio signals.

[0053] In a next step, these edited audio signals and / or...

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PUM

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Abstract

The invention relates to a method for identifying signs of faults occurred to electric tools. According to the invention, when a fault occurs to an electric tool, at least one microphone at least temporarily detects a noise produced by the electric tool. The noise, after the initiation of the operation and / or control of a system for user interaction and a system for signal processing, is received by the system for signal processing via a microphone in the form of an audio signal, and the system for signal processing subsequently performs fault diagnosis on the noise, so that the audio signal received and / or data extracted from the audio signal are subsequently transmitted to a system for identifying faults, wherein the system for identifying faults uses the audio signal received and / or the data extracted from the audio signal for the self-calibration by means of a reference audio signal stored in at least one database and / or data extracted from the reference audio signal so as to perform faul classification on the faults of the electric tool.

Description

technical field [0001] The invention relates to a method for symptom detection of a malfunction of an electric tool and a device for symptom detection of a malfunction of an electric tool according to the respective preambles of claims 1 and 10 . Background technique [0002] However, such a method for symptom recognition of a malfunction of at least one electric tool is of course known from the prior art. That is to say, for example, sound-based devices are known which at the present time use structure-borne sound for the analysis of faults in electric tools. For this purpose, suitable sensors are mechanically connected to the object to be inspected, ie, for example the power tool, and convert their vibrations into electrical signals, which are then used for fault diagnosis. [0003] Corresponding evaluation devices also exist, which evaluate the sound transmitted through the air (compared to structure-borne sound). These devices combine airborne sound with other sensor s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M7/02G01M99/00
CPCG01H3/00G01M7/00G01M17/007G07C5/00G01M7/02G01M13/028G01M99/00G01M99/002G01N29/4445G01N29/4454G05B23/02
Inventor F.布鲁克N.D.杜克
Owner ROBERT BOSCH GMBH
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