An Automated Feature Extraction Algorithm for Diagnosis of Gear Faults

Irfan, Muhammad; Saad, Nordin; Alwadie, Abdullah; Awais, Muhammad; Sheikh, Muhammad Aman; Głowacz, Adam; Kumar, Vikas

doi:10.1007/s11668-018-0573-7

Cited by 14 publications

(8 citation statements)

References 30 publications

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“…State-of-the-art noise measuring systems and gear fault detection techniques were researched and analyzed. Gear fault diagnosis has been studied using vibrations [17] and current [18]. Other works combine acoustic and vibration measurements for gear fault diagnosis [19].…”

Section: Analysis Of the Current System And Specification Of The Smentioning

confidence: 99%

A Case about the Upgrade of Manufacturing Equipment for Insertion into an Industry 4.0 Environment

García-Garza

Ahuett–Garza

López

et al. 2019

Sensors

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Industry 4.0 is a synonym for the confluence of technologies that allows the integration of information technology, data science, and automated equipment, to produce smart industrial systems. The process of inserting new technologies into current conventional environments involves a wide range of disciplines and approaches. This article presents the process that was followed to identify and upgrade one station in an industrial workshop to make it compatible with the more extensive system as it evolves into the Industry 4.0 environment. An information processing kit was developed to upgrade the equipment from an automated machine to an Industry 4.0 station. The kit includes a structure to support the sensor and the data processing unit; this unit consisted of a minicomputer that records the data, graded the performance of the components, and sent the data to the cloud for storage, reporting, and further analysis. The information processing kit allowed the monitoring of the inspection system and improved the quality and speed of the inspection process.

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Section: Analysis Of the Current System And Specification Of The Smentioning

confidence: 99%

A Case about the Upgrade of Manufacturing Equipment for Insertion into an Industry 4.0 Environment

García-Garza

Ahuett–Garza

López

et al. 2019

Sensors

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“…The performance of the motor is degraded if a fault appears in any of these components. Severe defects can cause a breakdown of the motor, which can create huge losses for the industry in terms of maintenance time, production stops, material waste and delay in the scheduled delivery of products [ 3 , 4 , 5 , 6 , 7 , 8 ]. The continuous monitoring of the status of motor parts could give an early indication about faults and provide an opportunity for the maintenance staff to assess the motor condition, take corrective measures and plan maintenance activity along with the budget.…”

Section: Introductionmentioning

confidence: 99%

A Novel Feature Extraction and Fault Detection Technique for the Intelligent Fault Identification of Water Pump Bearings

Irfan

Alwadie

Głowacz

et al. 2021

Sensors

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The reliable and cost-effective condition monitoring of the bearings installed in water pumps is a real challenge in the industry. This paper presents a novel strong feature selection and extraction algorithm (SFSEA) to extract fault-related features from the instantaneous power spectrum (IPS). The three features extracted from the IPS using the SFSEA are fed to an extreme gradient boosting (XBG) classifier to reliably detect and classify the minor bearing faults. The experiments performed on a lab-scale test setup demonstrated classification accuracy up to 100%, which is better than the previously reported fault classification accuracies and indicates the effectiveness of the proposed method.

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“…Nowadays modeling (Bender, 2012) and experimental studies (Wang et al, 2019) as well as simplify the structure of objects (Shu and Kochan, 2013) are often used to solve various problems in science (Bender, 2012), technology (Irfan et al, 2019), medicine (Pelc et al, 2019) and industry (Hreha et al, 2015;Wojciechowski et al, 2018). They make it possible, by simplifying the objects or identifying their essential properties to investigate the behavior of complex devices and systems, and based on these studies, build theories that will suggest the optimum way of operation or predict their behavior under real operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Constructing Reference Plans of Two-Criteria Multimodal Transport Problem

Przystupa

Zhang

Zabolotnii

et al. 2021

Transport and Telecommunication Journal

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The object of this study is a multicriteria transport problem, being stated for availability of several means of cargo delivery, meaning a multimodal transport problem. The optimization criteria of the multimodal transport problem described above are two objective functions of minimizing total transportation costs and level of transport risks. Three types of transport were selected for research: automobile, rail and river (inland waterway). The results of the study lay the foundation for development of a new valid algorithm for solving multimodal transport problems like multi-criteria optimization ones. The main advantage of such an algorithm lies in its higher potential convergence rate compared to classical numerical optimization methods, which now are predominantly used to solve the problems of this type. This advantage may not be decisive, but it appears to be at least quite an important argument when choosing the method of realization for two-criteria multimodal transport problems earlier considered, especially, in case of a large dimension. Moreover, the algorithm described in the work can be applied to similar problems with any number of types of transport and optimization criteria.

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An Automated Feature Extraction Algorithm for Diagnosis of Gear Faults

Cited by 14 publications

References 30 publications

A Case about the Upgrade of Manufacturing Equipment for Insertion into an Industry 4.0 Environment

A Case about the Upgrade of Manufacturing Equipment for Insertion into an Industry 4.0 Environment

A Novel Feature Extraction and Fault Detection Technique for the Intelligent Fault Identification of Water Pump Bearings

Constructing Reference Plans of Two-Criteria Multimodal Transport Problem

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