کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
561591 875315 2011 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Identification of bearing faults using time domain zero-crossings
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
پیش نمایش صفحه اول مقاله
Identification of bearing faults using time domain zero-crossings
چکیده انگلیسی

In this paper, zero-crossing characteristic features are employed for early detection and identification of single point bearing defects in rotating machinery. As a result of bearing defects, characteristic defect frequencies appear in the machine vibration signal, normally requiring spectral analysis or envelope analysis to identify the defect type. Zero-crossing features are extracted directly from the time domain vibration signal using only the duration between successive zero-crossing intervals and do not require estimation of the rotational frequency. The features are a time domain representation of the composite vibration signature in the spectral domain. Features are normalized by the length of the observation window and classification is performed using a multilayer feedforward neural network. The model was evaluated on vibration data recorded using an accelerometer mounted on an induction motor housing subjected to a number of single point defects with different severity levels.


► Signal processing using time, frequency, and sparse/compressive analysis.
► Low power feature extraction algorithms, estimation and detection.
► Multi-modal signal acquisition, spatio-temporal decision fusion.
► Unattended ground sensors, monitoring techniques, fault detection, and diagnosis.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 25, Issue 8, November 2011, Pages 3078–3088
نویسندگان
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