logo

Fault diagnosis of low speed bearing based on relevance

If you want to confirm some technical details before you order,
just need to send a message or e-mail: [email protected].
Then our professional sales staff will contact you within 2 hours.

Detection and classification of bearing faults in industrial geared motors using temporal features and adaptive neuro-fuzzy inference system | Heliy

Abstract. This paper concerns the automatic diagnosis of ball bearing defects in industrial geared motor based on statistical indicators and the Adaptive Neuro-Fuzzy Inference Sys

Multi sensor Wireless System for Eccentricity and Bearing Fault Detection in Induction Moto

Multi-sensor Wireless System for Eccentricity and Bearing Fault Detection in Induction Motors Ehsan Tarkesh Esfahani, Member, IEEE, Shaocheng Wang and Sundararajan V., Member, IEEE I ...

Fault detection and isolation - Wikiped

Fault detection and isolation (FDI) techniques can be broadly classified into two categories. These include model-based FDI and signal processing based FDI. Contents ...

Condition Based Maintenance of Low Speed Rolling Element .

Condition Based Maintenance of Low Speed Rolling Element Bearings using Hidden Markov Model G. Prakash 1, S. Narasimhan , and M. D. Pandey 1 University of Waterloo, Waterloo, ON, N2L 3G1, Canada.

Fault Diagnosis of Plunger Pump in Truck Crane Based on Relevance Vector Machine with Particle Swarm Optimization Algorithm | Directory of Open .

A novel fault diagnosis method PSO-RVM based on relevance vector machines (RVM) with particle swarm optimization (PSO) ... The six states, including normal state, bearing inner race fault, bearing roller fault, plunger wear fault, thrust plate wear fault, and are ...

A Stacked Autoencoder-Based Deep Neural Network for Achieving Gearbox Fault Diagnos

For avoiding the influence of speed fluctuation, each sample collects almost three periods of rotation data (1000 data points). ... X. Lou and K. Loparo, “Bearing fault diagnosis based on wavelet transform and fuzzy inference,” Mechanical Systems and Signal · · ...

Bo-Suk Yang - Editorial Board - Scientific Research Publishi

Prof. Bo-Suk Yang. Pukyong Nationa lUniversity, South Korean ... A.C.C. Tan, J. Mathew, Fault Diagnosis of Low Speed Bearing based on Acoustic Emission Signal and Multi-Class Relevance Vector Machine, Nondestructive Testing and Evaluation, 24(3), 1-16, 2009 ... B.S. Yang, Application of Relevance Vector Machine and Logistic Regression for ...

Application of Instantaneous Rotational Speed to Detect Gearbox Faults Based on Double Encoders | Chinese Journal of Mechanical Engineering | Full .

L F Villa, A Reñones, J R Peran, et al. Statistical fault diagnosis based on vibration analysis for gear test-bench under non-stationary conditions of speed and load. Mechanical Systems and Signal ...

Fault diagnosis of low speed bearing based on acoustic emission signal and multi-class relevance vector machine | QUT ePrin

This study presents an acoustic emission (AE) based fault diagnosis for low speed bearing using multi-class relevance vector machine (RVM). A low speed test rig was developed to simulate the various defects with shaft speeds as low as 10 rpm under several ...

Vibration Based Fault Diagnosis of Automobile Gearbox Using Soft Computing Techniqu

The set of IF-Then rule was generated and coded in LabVIEW for automated machine fault diagnosis. AUTHORS T Praveen Kumar No contact information provided yet. Bibliometrics: publication history ...

Low-Speed Bearing Fault Diagnosis Based on ArSSAE Model Using Acoustic Emission and Vibration Signals - IEEE Journals & Magazi

Abstract: The development of rolling element bearing fault diagnosis systems has attracted a great deal of attention due to bearing components having a high tendency toward unexpected failures. However, under low-speed operating conditions, the diagnosis of ...

Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine, Expert Systems with ...- DeepDy

Read "Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine, Expert Systems with Applications" on DeepDyve, the largest online rental service for scholarly research with thousands of academic publications available at ...

Edo Rudenko | University of Sumatera Utara - Academia.e

Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine more by Edo Rudenko Publication Date: 2009 Publication Name: Expert Systems With Applications Research Interests: Acoustic Emission, , Fault diagnosis, , ...

Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine - CO

Topics: 080108 Neural Evolutionary and Fuzzy Computation, 090609 Signal Processing, Fault diagnosis, low speed bearing, multi-class relevance vector machine, support vector ...

Fault Diagnosis of Low Speed Bearing Using Support Vector Machi

Fault Diagnosis of Low Speed Bearing Using Support Vector Machine Achmad Widodo†, Jong-Duk Son†, Bo-Suk Yang† Dong-Sik Gu*, Byeong-Keun Choi* Yong-Han Kim ...

Vibration and Current Monitoring for Fault’s Diagnosis of Induction Moto

Vibration and Current Monitoring for Fault’s Diagnosis of Induction Motors Mariana IORGULESCU, Robert BELOIU University of Pitesti, Electrical Engineering Departament , Pitesti, ...

Fault Diagnosis for a Rolling Bearing Used in a Reciprocating Machine by Adaptive Filtering Technique and Fuzzy Neural Netwo

Fault Diagnosis for a Rolling Bearing Used in a Reciprocating Machine by Adaptive Filtering Technique and Fuzzy Neural Network HUAQING WANG1,2 and PENG CHEN1* 1Graduate School of Bioresources Mie University 1577 Kurimamachiya-cho, Tsu-shi, Mie ...

Journal of Vibration and Control Low speed bearings fault .

Article Low speed bearings fault detection and size estimation using instantaneous angular speed W Moustafa1,2, O Cousinard1,2, F Bolaers1, K Sghir1 and JP Dron1 Abstract The fault diagnosis and prognosis of low speed machines remains a difficult problem despite remarkable advances in the

Condition Based Maintenance of Low Speed Rolling Element Bearings using Hidden Markov Model | PHM Socie

Home » Condition Based Maintenance of Low Speed Rolling Element Bearings using Hidden Markov Model ... This paper presents an integrated hidden Markov model (HMM) approach to undertake fault diagnosis and maintenance planning for low-speed roller ...

Condition monitoring of low speed bearings: A comparative .

AbstractBearing failure is often attributed to be one of the major causes of breakdown in industrial rotating machines that operate at high and low speeds. This paper presents results of a comparative experimental study on the application of the ultrasound technique for condition monitoring of low speed rolling element bearings and conventional vibration measurements with seeded faults on ...

NAVER Academic > Reliable Fault Diagnosis for Low-Speed Bearings Using Individually Trained Support Vector Machines With Kernel Discriminative .

This paper proposes a highly reliable fault diagnosis approach for low-speed bearings. The proposed approach first extracts wavelet-based fault features that represent diverse symptoms of multiple low-speed bearing defects. The most useful fault features for ...