Flush type bearing failure intelligent diagnosing device based on ARM (advanced RISC machine) and DSP (digital signal processor)

A fault diagnosis device and embedded technology, applied in the direction of mechanical bearing testing, etc., can solve the problem that the signal spectrum characteristics cannot be reflected, and achieve the effect of improving accuracy, realizing portability and friendly interface.

Inactive Publication Date: 2012-05-09
SOUTHEAST UNIV
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Problems solved by technology

Due to the transient and non-stationary nature of the vibration signals generated during the formation and development of bearing faults, the analysis of such signals by Fourier transform is an averaging of the signals over the entire time period by Fourier transform. The frequency characteristic representation of the si

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  • Flush type bearing failure intelligent diagnosing device based on ARM (advanced RISC machine) and DSP (digital signal processor)
  • Flush type bearing failure intelligent diagnosing device based on ARM (advanced RISC machine) and DSP (digital signal processor)

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Embodiment Construction

[0014] The present invention will be further described below in conjunction with the accompanying drawings and specific examples.

[0015] Such as figure 1 As shown, an embedded bearing fault intelligent diagnosis device based on ARM and DSP of the present invention includes a signal input module 1 , a core computing module 2 , a serial communication module 3 and a control module 4 . The input end of the signal input module 1 is connected to the tested bearing, the output end of the signal input module 1 is connected to the core operation module 2 , and the core operation module 2 is connected to the control module 4 through the serial communication module 3 .

[0016] The signal input module 1 transforms the vibration signal of the bearing into a suitable digital signal and inputs it to the No. 1 microprocessor 21 in the core operation module 2 . Signal input module 1 comprises sensor 11, charge amplifier 12, analog multi-channel switch 13, low-pass filter 14 and A / D convers...

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Abstract

The invention discloses a flush type bearing failure intelligent diagnosing device based on an ARM (advanced RISC machine) and a DSP (digital signal processor). The device comprises a signal input module connected with a vibration signal of a detected bearing, wherein the signal input module is connected with a core operation module, a serial communication module and a control module in sequence. A structure of DSP plus ARM is used in the invention, and an ARM sub-system and a DSP sub-system are communicated through an RS232 (recommend standard 232) serial bus; and under the system structure, real-time sampling and calculation as well as the management and control of a system can be executed in parallel, and the two sub-systems are synchronized on task execution by virtue of communication between the two sub-systems. The dual-CPU (central processing unit) structure-based system plays a critical role in protecting the real time property, and a multi-scale envelope spectrum analysis algorithm based on Morlet wavelet transformation is adopted in the core algorithm, and is realized in flush-type hardware for the first time, so that not only can the accuracy of bearing failure diagnosis be improved, but also the portability is realized.

Description

technical field [0001] The invention relates to a bearing fault intelligent diagnosis device based on DSP and ARM dual-core embedded technology. Background technique [0002] As we all know, the failure of rotating machinery caused by bearing failure is not uncommon (for example, in the study of motor reliability co-sponsored by General Electric and IEEE Industrial Application Society, it was found that the problems caused by bearings accounted for more than 40% of the total machine failure). Therefore, the development and research of various bearing fault diagnosis systems corresponding to this has attracted widespread attention from the industry and academia. The traditional bearing fault diagnosis system is based on classical Fourier analysis, which detects and diagnoses faults by performing Fourier transform on the measured signal to obtain characteristic spectra such as amplitude and phase. It reflects the presence or absence of bearing faults. Due to the transient an...

Claims

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Application Information

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IPC IPC(8): G01M13/04
Inventor 严如强赵锐
Owner SOUTHEAST UNIV
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