A Novel Method of Fault Detection for Solenoid Valves Based on Vibration Signal Measurement

Guo, Hai-Feng; Wang, Kai; Cui, He; Xu, Aidong; Jiang, Jin

doi:10.1109/ithings-greencom-cpscom-smartdata.2016.179

Cited by 5 publications

(6 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The SVM's is robust for fault diagnostics problems [48]- [50] and with its kernel-compatible architecture, has dependable classification capabilities [16], [20], [25], [51]; hence, the motivation for employing the SVM* for fault classification of our proposed solenoid pumps for achieving accurate FD&I.…”

Section: B Meta-heuristic Methods For Feature Selectionmentioning

confidence: 99%

“…Although limited research studies on solenoid pump diagnostics exist, several fault diagnostics techniques have been reported for solenoid valves. The authors of [20] presented the method of wavelet de-noising of vibration amplitudes for diagnostics while Georges et al [21] proposed a convolutional neural network approach for feature extraction from current signals for fault classification. On a different note, Juwita and Rosdiazli [22] proposed the use of statistical features extracted from acoustic emission signals for seal leakage detection in the control valve at an early stage.…”

Section: Motivation and Related Work A Vibration Monitoring Andmentioning

confidence: 99%

“…where C is a regularisation parameter that maintains a balance between achieving a minimal margin and maximum separation. The desired output is achieved using the Lagrange function in (20).…”

Section: Rbf-kernel Support Vector Machine (Svm*)mentioning

confidence: 99%

See 2 more Smart Citations

A Multi-Domain Diagnostics Approach for Solenoid Pumps Based on Discriminative Features

Akpudo

Hur

2020

IEEE Access

View full text Add to dashboard Cite

Accurate condition monitoring of industrial cyber-physical systems/components demands the use of reliable fault detection and isolation (FD&I) methodologies. Meta-heuristic algorithms for feature selection have good exploration capability for optimal discriminative feature selection for fault isolation/classification of which the Binary Particle swarm optimization (BPSO) is superior to its counterparts. This study presents a robust approach for vibration-based failure diagnostics of electromagnetic/solenoid pumps which employ a multi-domain feature extraction procedure (statistical time-domain and frequencydomain features, Mel frequency cepstral coefficients, and continuous wavelet coefficients) for capturing linear and nonlinear properties from the signals. Compared with other filter and wrapper methods for supervised feature selection, a hybrid filter-wrapper (Pearson's correlation-BPSO (ρ-BPSO)) feature selection procedure is proposed for global search of optimal discriminative (uncorrelated) features for fault diagnosis with an RBF-kernel support vector machine (SVM*). Subsequently, a practical case study involving five VSC63A5 solenoid pumps at various operating/fault conditions is presented for validating the performance of the proposed approach. Results show the superior performance of the proposed hybrid filterwrapper approach against filter-based and wrapper-based techniques for discriminative feature selection. Also, the proposed ρ-BPSO-SVM* diagnostics model performance was compared with other standard fault isolation/classification methods.

show abstract

Section: B Meta-heuristic Methods For Feature Selectionmentioning

confidence: 99%

Section: Motivation and Related Work A Vibration Monitoring Andmentioning

confidence: 99%

See 1 more Smart Citation

A Multi-Domain Diagnostics Approach for Solenoid Pumps Based on Discriminative Features

Akpudo

Hur

2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…After updating model parameters, representing surface damage characteristics, from vibration signals, artificial neural networks were used to classify normal and faulty conditions. Guo et al [20] proposed a data-driven method to detect solenoid coil degradation in brake systems. A fault was detected when the acceleration, which was denoised by a wavelet algorithm, was less than a threshold.…”

Section: B Fault Detection Methods For Solenoid Valvesmentioning

confidence: 99%

Model-Based Fault Detection Method for Coil Burnout in Solenoid Valves Subjected to Dynamic Thermal Loading

Seo

et al. 2020

IEEE Access

View full text Add to dashboard Cite

Solenoid valves are widely used to control fluid flow in various mechanical systems. If the valves do not function properly, the mechanical systems can lose their ability to control the fluid flow. This paper describes a fault detection method that can monitor coil burnout under dynamic thermal loading. The method consists of three steps. First, an equivalent current model of the solenoid valves is derived from Kirchhoff's voltage law. Then, a predictive regression model is developed to describe the relationship between the electric current and the dynamic change of operating temperature of the valves. Finally, a health indicator of solenoid coil burnout is devised in conjunction with the derived model. To demonstrate the validity of the proposed fault detection method, a case study is presented with solenoid valves taken from real braking systems of urban railway vehicles. The case study confirms that the proposed method can detect the coil burnout independent of the operating temperature. We anticipate that the proposed method can be widely applicable to diagnose any electromagnetic actuator of engineered systems as well as solenoid valves in various industrial applications.

show abstract

“…Sensor is very important, that is why is used for healthcare, Vibration sensor is used in fault detection of solenoid valves by the signal gathered in Labview SignalExpress system [39]. A sensor based framework for real-time sensing of the state of equipment of post-prognostics decision has been proposed.…”

Section: Interoperability As a Property (Iaap)mentioning

confidence: 99%

Sensor Enhanced Health Information Systems: Issues and Challenges

Adam¹,

Abubakar

Mahmud³

2019

Int. J. Interact. Mob. Technol.

View full text Add to dashboard Cite

Owing to the fact that the world population is aging and considering the high cost of healthcare services, researchers are exploiting the use of sensors to support mobile monitoring of healthcare systems remotely. However, this area is faced with numerous challenges. In this research, the challenges facing the integration of sensors in Health Information Systems (HIS) were reviewed. One of the major challenges faced by such systems is interoperability. In this article, a survey of existing mobile monitoring system is presented and the challenges facing this area are categorized. A significant contribution by some research has indicated the need for further study to thoroughly investigate Interoperability as a Property (IaaP) paradigm for HIS. Recommendation by some researchers requires that a prototype be developed in order to evaluate the performance of IaaP paradigm.

show abstract

A Novel Method of Fault Detection for Solenoid Valves Based on Vibration Signal Measurement

Abstract: Abstract-Solenoid

Cited by 5 publications

References 9 publications

A Multi-Domain Diagnostics Approach for Solenoid Pumps Based on Discriminative Features

A Multi-Domain Diagnostics Approach for Solenoid Pumps Based on Discriminative Features

Model-Based Fault Detection Method for Coil Burnout in Solenoid Valves Subjected to Dynamic Thermal Loading

Sensor Enhanced Health Information Systems: Issues and Challenges

Contact Info

Product

Resources

About