Application of Parameter Optimized Variational Mode Decomposition Method in Fault Diagnosis of Gearbox

Wang, Zhijian; He, Gaofeng; Du, Wenhua; Zhou, Jie; Han, Xiaofeng; Jingtai, Wang; He, Huihui; Guo, Xiaoming; Wang, Junyuan; Kou, Yanfei

doi:10.1109/access.2019.2909300

Cited by 175 publications

(113 citation statements)

References 31 publications

Supporting

Mentioning

105

Contrasting

Order By: Relevance

“…The liquefaction of coal involves the conversion of macromolecules to small hydrocarbon molecules, and hydro‐plasticization is similar to this process. Some coal macromolecular structures begin to depolymerize above a certain temperature to form free radical fragments and weak covalent bonds with cleavages, such as ether bonds, hydrogen bonds, and bonds with carboxyl groups during the hydro‐plasticization process . The higher the pressure is, the more favorable conditions for dissolution of molecular hydrogen in the solvent to form active hydrogen and stabilize the free radicals generated by the pyrolysis of coal to form light molecules that can easily be extracted with a solvent.…”

Section: Resultsmentioning

confidence: 99%

Significantly enhances caking index of long‐flame coal under tetralin‐glycerol/H₂ system

Liu

Wang

Yang

et al. 2019

Asia-Pacific J Chem Eng

View full text Add to dashboard Cite

For alleviating of the shortage of coking coal resource and efficient cleaning and utilization of low-rank coal, hydro-plasticization of low-rank coal was carried out. However, the caking property of low-rank coal cannot be obviously improved under mild conditions in the traditional tetralin-H 2 system. This study is to investigate the feasibility of mixed tetralin-glycerol as a solvent in the process of low-rank coal hydro-plasticization. The solvent ratios of tetralin-glycerol, reaction pressure, and atmosphere were varied to evaluate their effects on hydro-plasticization. The results show that the caking index (G RI ) of long-flame coal increases from 0 to 78 at mild conditions, and the hydrogen transfer mechanism might be directly from H 2 to coal rather than through hydrogen-donor solvents in the mixed solvent case. The solvent extraction and the G RI of modified coals were measured and found that the G RI of modified coal has a good linear relationship with PAA yield, and its R 2 is .985.

show abstract

Section: Resultsmentioning

confidence: 99%

Significantly enhances caking index of long‐flame coal under tetralin‐glycerol/H₂ system

Liu

Wang

Yang

et al. 2019

Asia-Pacific J Chem Eng

View full text Add to dashboard Cite

show abstract

“…VMD can get the optimal result of the variational model through continuous iterative processing, and can obtain the bandwidth and frequency center of each intrinsic mode function (IMF) by adaptively separating the components. Using VMD to decompose complex signals is actually the process of solving the sum of the smallest frequency bands by constructing multiple variation functions, a brief introduction of the VMD is as follows [36,37]:…”

Section: Variational Modal Decomposition (Vmd)mentioning

confidence: 99%

A Temperature Error Parallel Processing Model for MEMS Gyroscope based on a Novel Fusion Algorithm

Cao

Shen

2020

Electronics

View full text Add to dashboard Cite

To deal with the influence of temperature drift for a Micro-Electro-Mechanical System (MEMS) gyroscope, this paper proposes a new temperature error parallel processing method based on a novel fusion algorithm. Firstly, immune based particle swarm optimization (IPSO) is employed for optimal parameters search for Variational Modal Decomposition (VMD). Then, we can get the optimal decomposition parameters, wherein permutation entropy (PE) is employed as the fitness function of the particles. Then, the improved VMD is performed on the output signal of the gyro to obtain intrinsic mode functions (IMFs). After judging by sample entropy (SE), the IMFs are divided into three categories: noise term, mixed term and feature term, which are processed differently. Filter the mixed term and compensate the feature term at the same time. Finally, reconstruct them and get the result. Compared with other optimization algorithms, IPSO has a stronger global search ability and faster convergence speed. After Back propagation neural network (BP) is enhanced by Adaptive boosting (Adaboost), it becomes a strong learner and a better model, which can approach the real value with higher precision. The experimental result shows that the novel parallel method proposed in this paper can effectively solve the problem of temperature errors.Electronics 2020, 9, 499 2 of 21 circuit design structure to reduce the damping coefficient, which is convenient and economical [15]. Yang et al. adopted a new concept whereby the on-chip temperature compensation of the MEMS gyroscope is realized by the on-chip sensor. In order to make the on-chip temperature of the micro gyroscope well controlled, the newly integrated serpentine micro heater is used to achieve this function [16]. Cui et al. analyzed the working principle of the gyroscope and adopted the vibration compensation of the drive mode, which has a good effect [17]. However, the hardware compensation cost is high and it is too difficult to implement.The second is through software compensation, it includes the removal of noise and temperature compensation. The software compensation method mainly establishes a model for the drift part and the noise part of the MEMS gyroscope to remove noise and compensate drift. For the establishment of the temperature drift model, the reference temperature and the corresponding temperature drift output obtained in advance are used as a set of training set data. The model is established after the learning and training of the algorithm. When the temperature value is input, the model can predict the output value as compensation. There are two main methods. The first one is serial processing, which first uses a filter to perform noise reduction on the signal and then uses a model to eliminate drift. The other one is parallel processing, which refers to extracting and processing noise components and drift components separately. Dominik uses a combination of experiments and numerical values to provide accurate ceramic acceleration at higher temperature [18]. Yang uses a sim...

show abstract

“…erefore, selecting the suitable initial decomposition parameters has become a critical issue in the study of VMD. Many researches [24][25][26][27][28][29] mainly focused on how to determine the bandwidth parameter and the number of decomposition modes for the fault diagnosis of bearings. However, the current types for initializing the parameters in VMD subject to some prior experience.…”

Section: Introductionmentioning

confidence: 99%

An Enhanced VMD with the Guidance of Envelope Negentropy Spectrum for Bearing Fault Diagnosis

et al. 2020

View full text Add to dashboard Cite

Currently, study on the relevant methods of variational mode decomposition (VMD) is mainly focused on the selection of the number of decomposed modes and the bandwidth parameter using various optimization algorithms. Most of these methods utilize the genetic-like algorithms to quantitatively analyze these parameters, which increase the additional initial parameters and inevitably the computational burden due to ignoring the inherent characteristics of the VMD. From the perspective to locate the initial center frequency (ICF) during the VMD decomposition process, we propose an enhanced VMD with the guidance of envelope negentropy spectrum for bearing fault diagnosis, thus effectively avoiding the drawbacks of the current VMD-based algorithms. First, the ICF is coarsely located by envelope negentropy spectrum (ENS) and the fault-related modes are fast extracted by incorporating the ICF into the VMD. Then, the fault-related modes are adaptively optimized by adjusting the bandwidth parameters. Lastly, in order to identify fault-related features, the Hilbert envelope demodulation technique is used to analyze the optimal mode obtained by the proposed method. Analysis results of simulated and experimental data indicate that the proposed method is effective to extract the weak faulty characteristics of bearings and has advantage over some advanced methods. Moreover, a discussion on the extension of the proposed method is put forward to identify multicomponents for broadening its applied scope.

show abstract

Application of Parameter Optimized Variational Mode Decomposition Method in Fault Diagnosis of Gearbox

Cited by 175 publications

References 31 publications

Significantly enhances caking index of long‐flame coal under tetralin‐glycerol/H₂ system

Significantly enhances caking index of long‐flame coal under tetralin‐glycerol/H₂ system

A Temperature Error Parallel Processing Model for MEMS Gyroscope based on a Novel Fusion Algorithm

An Enhanced VMD with the Guidance of Envelope Negentropy Spectrum for Bearing Fault Diagnosis

Contact Info

Product

Resources

About

Application of Parameter Optimized Variational Mode Decomposition Method in Fault Diagnosis of Gearbox

Cited by 175 publications

References 31 publications

Significantly enhances caking index of long‐flame coal under tetralin‐glycerol/H2 system

Significantly enhances caking index of long‐flame coal under tetralin‐glycerol/H2 system

A Temperature Error Parallel Processing Model for MEMS Gyroscope based on a Novel Fusion Algorithm

An Enhanced VMD with the Guidance of Envelope Negentropy Spectrum for Bearing Fault Diagnosis

Contact Info

Product

Resources

About

Significantly enhances caking index of long‐flame coal under tetralin‐glycerol/H₂ system

Significantly enhances caking index of long‐flame coal under tetralin‐glycerol/H₂ system