Fault diagnosis of an automobile cylinder head using low frequency vibrational data

Maryam Taajobian, Morteza Zaheri*, Mojtaba Doustmohammadi, Amirhosein Amouzadeh, Mohammadreza Emadi

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

10 اقتباسات (Scopus)


This paper proposes a vibration-based fault-diagnosis method for mechanical parts. This method, after algorithm development, only requires a single inexpensive test to inspect the part which could take as short as half a second. The algorithm is developed in three major stages, (i) exciting specimens without or with known faults using a controlled force and recording acceleration of a single point for a short time (ii) finding a signature for each faulty specimen, using Fourier transform and statistical analysis. (iii) Developing a multi-layer perceptron, as a mathematical model, using the results of stage (ii). The elements of a part signature are the inputs to the model. The location (and possibly size and shape factor) of the fault is model output. Stage (i) can be performed experimentally or alternatively with a validated FEM, one experiment or simulation per specimen. The proposed technique was examined to locate (isolate) a fault on an automobile cylinder head. The presented accuracy is considerable, and the data collected at fairly low frequency range (below 1200 Hz) were found to be sufficient for this technique. In the case study of this paper, possible fault locations are on a line; as a result, fault location has one dimension. It is shown that the technique can be extended to higher dimensions.

اللغة الأصليةEnglish
الصفحات (من إلى)3037-3045
عدد الصفحات9
دوريةJournal of Mechanical Science and Technology
مستوى الصوت32
رقم الإصدار7
المعرِّفات الرقمية للأشياء
حالة النشرPublished - يوليو 1 2018

ASJC Scopus subject areas

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