A fault prognosis strategy for an external gear pump using Machine Learning algorithms and synthetic data generation methods

Lakshmanan, Kayal; Tessicini, F.; Gil, Antonio J.; Auricchio, Ferdinando

doi:10.1016/j.apm.2023.07.001

Cited by 10 publications

(5 citation statements)

References 32 publications

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“…Then q 3 and q 4 do not force each other. Therefore, we have A(Z 2 1 (G)), as in Figure 3. Now, we consider Z 2 2 (G) = {q 3 }.…”

Section: K-forcing Automatamentioning

confidence: 99%

“…Since then, this theory has been used to describe many fundamental issues or phenomena in operations research, chemistry, computer science, and social science. Numerous groups of authors have introduced and studied various graph generation models from different perspectives [1][2][3][4][5]. Additionally, it has been used in communication roads of cities, city maps, etc.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, different types of automata demonstrate rich and exciting properties that could be applied to modeling and simulating different types of epidemics, and we refer to [2,[9][10][11][12][13] for details. In addition, there has been limited research on the application of automata theory to analyze disease propagation.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Recognizable Languages of k-Forcing Automata

Shamsizadeh,

Zahedi,

Abolpour

et al. 2024

MCA

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In this study, we show that automata theory is also a suitable tool for analyzing a more complex type of the k-forcing process. First, the definition of k-forcing automata is presented according to the definition of k-forcing for graphs. Moreover, we study and discuss the language of k-forcing automata for particular graphs. Also, for some graphs with different k-forcing sets, we study the languages of their k-forcing automata. In addition, for some given recognizable languages, we study the structure of graphs. After that, we show that k-forcing automata arising from isomorph graphs are also isomorph. Also, we present the style of words that can be recognized with k-forcing automata. Moreover, we introduce the structure of graphs the k-forcing automata arising from which recognize some particular languages. To clarify the notions and the results obtained in this study, some examples are submitted as well.

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“…Then q 3 and q 4 do not force each other. Therefore, we have A(Z 2 1 (G)), as in Figure 3. Now, we consider Z 2 2 (G) = {q 3 }.…”

Section: K-forcing Automatamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Recognizable Languages of k-Forcing Automata

Shamsizadeh,

Zahedi,

Abolpour

et al. 2024

MCA

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“…To study the effects of a ball valve rotating on the flow behavior inside the PCCV, dynamic flow simulations were conducted using the commercial CFD software Simerics-MP+ [18]. The authors prefer this software to ANSYS Fluent 2023 R1 [17] for transient dynamic flow simulation with moving/sliding grids because of its superiority in numerical stability and ease-to-convergence [20,21]. Simerics software (ver.…”

Section: Mathematical Formulation For Moving Gridmentioning

confidence: 99%

Transient and Dynamic Simulation of the Fluid Flow through Five-Way Electric Coolant Control Valve of a 100 kW Fuel Cell Vehicle by CFD with Moving Grid Technique

Jeong,

Kang,

Moon

et al. 2024

Actuators

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In order to maintain the performance of a fuel cell vehicle, it is essential to maintain a constant temperature of the stack. Therefore, it is very important to distribute the optimal coolant flow rate to each major component under very diverse and rapidly changing dynamic operating conditions. The part responsible for this is a five-way electric coolant valve. Therefore, this study aims to investigate transient dynamic flow characteristics of the fluid flow through a five-way electric coolant valve (PCCV: Penta-Control Coolant Valve). To achieve this goal, this paper attempts a three-dimensional dynamic simulation of the fluid flow through the valve using a commercial CFD solver with moving mesh technique to consider flow inertia and dynamic flow in the opening and closing stages of the ball valve rotating motion. The dynamic flow characteristics and the thermal mixing inside the PCCV ball valve during the opening and closing stages are analyzed. It was found that the discrepancies between dynamic and steady-state simulations are remarkable when fluxes with different levels of enthalpy and momentum flow into the PCCV, leading to strong flow interference and flow inertia, while the discrepancies are relatively small at low rotation speed and weak flow interference. Subsequently, the effect of the dynamic flow characteristics of the valve on the dynamic thermal mixing characteristics at two different ball valve rotation speeds and rotation directions are investigated. It was found that the dynamic flow and thermal mixing characteristics inside the PCCV are greatly affected by the rotation speed, rotation direction, and degree of flow interference between fluxes. It also helps design better coolant control strategies and improves the FCEV thermal management system.

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“…Gear pumps are widely used in many industries due to their reliability, simplicity of design, compactness, and efficiency [1,2]. Gear pumps are positive displacement type pumps.…”

Section: Introductionmentioning

confidence: 99%

Parametric Optimization of a New Gear Pump Casing Based on Weight Using a Finite Element Method

Zharkevich,

Nikonova,

Gierz

et al. 2023

Applied Sciences

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Reducing the weight of the structures and choosing the materials used in mechanical engineering is an important and pressing economic and environmental problem. The design of a gear pump is developed from the point of view of the geometry of the gears, as well as the casing. This paper tested a gear pump casing using the environment of the ABAQUS 2020 system in the field of statistical strength analysis using the finite element method. The tests were carried out on the pump body and the front and rear covers, which were made of three types of materials (cast iron, aluminum, and polycarbonate), at a pressure of 28 MPa. After loading, the maximum stresses in the aluminum casing (177 MPa), the cast iron casing (157 MPa), and the polycarbonate (200 MPa) were determined. The largest stress concentrators are the grooves at the bottom of the pump casing. Rounding the internal chamber of the casing with a radius of 4 mm made it possible to reduce stress in this zone by 10 MPa. The parametric optimization of the front and back covers of the gear pump made it possible to reduce the total weight of the aluminum structure by 14%, the cast iron by 12%, and the polycarbonate by 16%. The 3D models show areas of minimal stress where the size and weight of the structure could be reduced in the future using a comprehensive approach involving parametric and topological analysis.

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A fault prognosis strategy for an external gear pump using Machine Learning algorithms and synthetic data generation methods

Cited by 10 publications

References 32 publications

Recognizable Languages of k-Forcing Automata

Recognizable Languages of k-Forcing Automata

Transient and Dynamic Simulation of the Fluid Flow through Five-Way Electric Coolant Control Valve of a 100 kW Fuel Cell Vehicle by CFD with Moving Grid Technique

Parametric Optimization of a New Gear Pump Casing Based on Weight Using a Finite Element Method

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