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IRJET- Fault Diagnosis by Noise Measurement in Single Stage Gearbox
1.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 06 | June 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3662 Fault Diagnosis by Noise Measurement in Single Stage Gearbox Vrushali D. Pawar1, Prof. Pavankumar Sonawane2 1Student, DYPIET, Mechanical Engineering, Pune, Maharashtra, India 2Asst. Professor, DYPIET, Mechanical Engineering, Pune, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract - In automotive gearboxes, the gear damage detection is often very critical. Gearboxes are power transmission devices with the features of compact structure and high transmission efficiency. They have been widely used in many fields such as transportation, energy and chemical industry, etc. However, because of its complex structure and harsh working conditions, gears are prone to failure (e.g., abrasion, chipping, crack, etc. Noise measurementisoneofthe technologies for health monitoring and fault diagnosis in gearboxes. A specially built test rig was used to measure gearbox noise and vibration for the different test gear pairs. The assembly and disassembly of the different gears and pinions with defects give multiple noise measurement results. Different parameters can be diagnosed during the sound analysis. Key Words: Gearbox, vibration, sound pressure level,noise, pitting 1. INTRODUCTION Gears are important elements for power transmission with its compact structure in a variety of industrial applications such as machine tool and gearboxes. Gear tooth failure is very common defect which leads to tremendous economic losses. For that reason, fault diagnosis in gears has been the subject of intensive research. The gearbox is a source of vibration and, consequently, noise. Except for bearing extreme structure resonance amplification, gears are the main sources of high frequency vibration and noise. Noise is a first sign for transmission problem. The gearboxâs overall sound pressure level (SPL), compared to the SPL associated with the meshing gears, is only by some 5 dB higher at maximum. Condition monitoring is used to conduct preventive maintenance in order to prevent future development of faults. Machine condition monitoringcanbe realized by monitoring following characteristics: vibration, aural, visual, operational variables (state of the system), temperature and wear debris (e.g. oil analysis). Xihui Liang (2018) has reviewed techniques for fault diagnosis on all types of gear faults including gear tooth pitting, tooth cracking/spalling, wear, tooth tip chipping, manufacturing errors, misalignment, eccentricity and so on. Gearbox contains many components such as bearings, shaft, gears and pinions, belt drives, etc. Failure can occurinanyof the components. These failures can cause major losses and damage to the components. Hence,earlyfaultdiagnosisneed to be done.[1] Amar Pawar (2016) presents the fault detection technique in two stage helical gear box. This paper presentthework on condition monitoring of a lab-scale, two stage,gearboxusing different non-destructive inspection methodologies and of the acquired waveforms with advanced signal processing technique. The Acoustic emission (AE) and vibration measurements were utilized for this purpose. The experimental setup and the instrumentation of each monitoring methodology are presented in detail. The signal processing of the acquired vibration and acoustic emission signals are obtained from the set up. The results are generated in waveforms. The parameters involved in diagnosis are well obtained from the acoustic signals. [2] Manoj Kumar Dwivedi (2015) presents the comparative analysis of healthy and cracked spur gear using vibration signal in single stage gear box. This paper deals with the analysis of a healthy gear and faulty spur gearbox having crack defect on multiple teeth at different angle on driving gear using frequency domain technique through MATLAB software. Using the vibration signals andthesuddenburst in the vibrations, analysis is carried out and frequency of the faulty gear is found out. [3] T Praveenkumar(2014)addressestheuseofvibrationsignal for automatic fault detection of gearbox. Using the vibration signals, the performance of the gearbox can be found out. In this study, they examine good gears and face wear gears to collect vibration signals for good and faulty conditionsofthe gearbox. Hence, the comparative study of faulty and good gears is carried out.[4] Jimeng Li (2017) summarized into two terms: (1) an adaptive VMD (variation mode decomposition) methodwas developed, (2) an underdamped SR model based on improved coupled bistable system was proposed, and the relationship between the system parametersandthesystem output SNR was analysed through numerical simulation to verify the validity of the proposed model. VMD decomposes the vibration signals into the intrinsic mode functions (IMF).This results in automatic determination of the appropriate mode number according to correlationkurtosis (CK). Stochastic resonance (SR), as a kind of Noise assisted signal processing method, can realize the extraction and enhancement of weak signal features by utilizing noise instead of eliminating noise. [5] Nilson Barbieri (2019) identified the presence of damages and diagnosed the damaged component in automotive gearboxes by comparing the vibration signals of the
2.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 06 | June 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3663 damaged and undamaged systems. The vibration analysis was done for ten samples of the gearboxes. Firstlysubjective method was used based on human hearing. Secondly, three gearboxes were taken out ofwhichtwowithbearingdamage and one with gear tooth damage. Five accelerometers were used to obtain the signals by positioning in the samples and ten different steps with different configuration of the gears. Different signal analysis techniques based on wavelet transform, mathematic morphology and energy (entropy) were used to verify the presence of damage in the systems. The energy level of the signals in the damaged and undamaged systems is compared. A signal processing techniquecombiningpattern spectrumandselectivefiltering in certain frequencies ranges was used for identification of component failures. This technique can further be used to detect early damages. [6] Dongsik presented a paper on Detection of faults in gearboxes using acoustic emission signals. In this paper noise parameter such as Power spectrum, Sideband peaks, Hilbert Transform or low pass filtering used to detect the fault. Here the detection result of the test was shown by power spectrum and comparisonoftheharmonic level of the rotating speed. The paper presents the result, we can understand that Acoustic emission signals can detect fault more easily than accelerometer. It can be used in condition monitoring system Acoustic emission signal can be shown the clean result with harmonic and sidebands .It is a better technique for condition monitoring system. For condition monitoring of the machinery, the Acoustic emission system is a powerful method to detect fault earlier, Acoustic emission sensor can detect the fault earlier than an accelerometer because of high sensitivity. In the power spectrum the harmonic of rotating speed and gear meshing frequency clearly occurred. [7] 2. EXPERIMENTATION This paper presents project work the early detection of a gear fault (i.e. a real tooth pitting). Therefore, a gear test rig has been used to obtain relevant diagnostic information about this gear fault. Experimentation is performed on the single stage gear box (number of teeth on pinion is 32 and number of teeth on gear is 56) module of gear is 2.5mm. The power is transferred from motor to gearbox bymeansofbelt drive. Table1. Gear Dimensions SR. No. Parameter Dimension of pinion Dimensio n of gear 1 Module 2.5mm 2.5mm 2 No. of tooth 32 56 3 Material En8M En8M 5 Addendum 2mm 2mm 6 Deddendum 2.5mm 2.5mm 7 Pitch circle diameter 64mm 112mm 8 Face width 20mm 20mm 9 Teeth thickness 3mm 3mm Fig1. Test set up Fig2. FFT Analyser Fig3. Polarized microscope Four spur gear pairs are manufactured for the experimentation. The experimentationistobe performed on healthy gear and defective gears. Initially, the gears and pinions of above mentioned sizes are fabricated. According to the calculated number of pits, the pits are created on the three gears and pinions. 1. First gear pair is kept as manufactured. It is called healthy gear pair which has no defect.
3.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 06 | June 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3664 2. Slight pitting is done one gear pair. Slight means 5 numbers of pits are created, i.e., 12% of the area of tooth is pitted. 3. Moderate pitting is done in second gear pair. In moderate pitting, 50% of the area of tooth is pitted. Number of pits is calculated. 4. Severe pitting is created in third gear pair. Severe pitting has 75% area of tooth pitted. Fig4. Healthy gear and pinion Fig5. Slight pitting on gear and pinion Fig6. Moderate pitting on gear and pinion Fig7. Severe pitting on gear and pinion 3. METHODOLOGY In this trail set up, the gearbox is allowed to run at an input speed of 1440 rpm. The gearbox runs at constant speed. The trails are taken for constant load conditions and constant speed. The microphone is used to record the noise created by the gearbox. Initially, the gearbox has healthy pair assembled in it. Formation of fault on tooth Another three gear pairs are used for fault diagnosis. The different intensity of pitting is created on the gears and pinions. Forming different conditions by altering the gears and pinions, trails are carried out. Sr. No Gear Pinion 1 Healthy Healthy 2 Healthy 6.3% pitting 3 Healthy 27.8% pitting 4 Healthy 41.7% pitting 5 Healthy Healthy 6 6.3% pitting Healthy 7 27.8% pitting Healthy 8 41.7% pitting Healthy 9 27.8% pitting Healthy Table2. Conditions for gearbox trails 4. RESULTS AND OBSERVATIONS The basic aim of this project work is to design a test rig and to carry out experimentation to detect different types of faults. The pitting is a very common fault found in various gearboxes. This produces noise in gearbox. Hence, this project is to diagnose the gearbox failure bymeasurement of noise. In the experimentation, vibration response measured from the gear box is analyzed to detect different faults. For this analysis gear rotates at loading condition and at constant speed of motor. The following graphs show the different parameters to be measured and considered in noise analysis.
4.
International Research Journal
of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 06 Issue: 06 | June 2019 www.irjet.net p-ISSN: 2395-0072 © 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3665 Fig8. Octave band spectrum Fig9. Frequency Vs Sound Pressure level Fig9. Time Vs Sound Pressure level 5. CONCLUSION Sound measurements are made always together with noise measurements. It is very well necessary to detect the faults in the gearbox at early stage. The equipmentsâ or motorsâ working is followed by vibrations, oscillations which are in hearing domain, so monitoring the right functioningofthese can be made through sound and noise measurement and analysis. To analyze noise, both frequency and amplitude need to be taken into account. To determine the distribution of the sound level frequency octave analysis is used. In noise measurement and analysistherearespecific frequencies due to the rotating element. These specific frequencies are proportional with the fundamental frequency.Ifa damagein tooth of gear is found, the noise can be easily detected. Hence, a comparative study for different conditions offaulty gear pairs is done to obtain satisfactory results in noise measurement or noise analysis. REFERENCES [1] Xihui Liang, Ming J. Zuo, Zhipeng Feng, âDynamic modeling of gearbox faults: A reviewâ, Mechanical Systems and Signal Processing 98 (2018) [2] Amar Pawar1, Yogesh Hinge, Mahesh Kotwal, âFault Detection Techniquesin Two Stage Helical Gearbox by using Vibration Analysisâ International Journal of Innovative Research in Science, Engineering and Technology Vol. 5, Issue 5, May 2016. [3] Manoj Kumar Dwivedi, Vijay Kumar Karma (2015) âComparative Analysis Of Healthy And Cracked Spur Gear Using Vibration Signal In Single Stage Gear Boxâ International Journal Of Engineering Sciences & Research Technology 4(7): July, 2015 [4] T. Praveenkumar, M Saimurugan, P Krishnakumar& K I Ramachandran (2014). âFault diagnosis of automobile gearbox based on machine learning techniquesâ, 12th Global Congress On Manufacturing And Management, Gcmm 2014, Procedia Engineering, Vol. 97, pp. 2092 â 2098 [5] Jimeng Li, Hui Wang, Jinfeng Zhang, Xifeng Yao, Yungang Zhang, âImpact fault detection of gearbox based on variational mode decomposition and coupled underdamped stochastic resonanceâ [6] Nilson Barbieri, Gabriel de SantâAnna Vitor Barbieri, Bruno Matos Martins, LucasdeSantâAnna VitorBarbieri, Key Fonseca de Lima, âAnalysis of automotive gearbox faults using vibration signalâ,Mechanical Systems and Signal Processing 129 (2019) [7] Dongsikgu, Jaegukim ,Youngsu, âDetection of faults in gearboxes using acoustic emission signalsâ, Journal of mechanical Science and Technology.
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