Experimental study on energy consumption in rotating machinery caused by misalignment

Abouelanouar, Bouchra; Elkihel, Ali; Gziri, Hassan

doi:10.1007/s42452-020-3043-2

Cited by 8 publications

(4 citation statements)

References 12 publications

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“…Therefore, a large number of studies have focused precisely on investigating this area [48,[55][56][57][58][59]. The aging of energy infrastructure is a global challenge, so the scientific search for and active action in technologies' improvement that is capable of affecting rates of depreciation and reducing operating costs will give a significant boost not only to the oil and gas industry, but to all sectors [60][61][62].…”

Section: Methodsmentioning

confidence: 99%

Induction Motor Bearing Fault Diagnosis Based on Singular Value Decomposition of the Stator Current

2023

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Among the most widespread systems in industrial plants are automated drive systems, the key and most common element of which is the induction motor. In view of challenging operating conditions of equipment, the task of fault detection based on the analysis of electrical parameters is relevant. The authors propose the identification of patterns characterizing the occurrence and development of the bearing defect by the singular analysis method as applied to the stator current signature. As a result of the decomposition, the time series of the three-phase current are represented by singular triples ordered by decreasing contribution, which are reconstructed into the form of time series for subsequent analysis using a Hankelization of matrices. Experimental studies with bearing damage imitation made it possible to establish the relationship between the changes in the contribution of the reconstructed time series and the presence of different levels of bearing defects. By using the contribution level and tracking the movement of the specific time series, it became possible to observe both the appearance of new components in the current signal and the changes in the contribution of the components corresponding to the defect to the overall structure. The authors verified the clustering results based on a visual assessment of the component matrices’ structure similarity using scattergrams and hierarchical clustering. The reconstruction of the time series from the results of the component grouping allows the use of these components for the subsequent prediction of faults development in electric motors.

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Section: Methodsmentioning

confidence: 99%

Induction Motor Bearing Fault Diagnosis Based on Singular Value Decomposition of the Stator Current

2023

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“…For example, the motor shaft's misalignment can cause 3% of energy losses, while the unbalance contributes to 1% of energy losses (Gaberson, 1996). In addition, the parallel misalignment has more considerable energy losses than angular misalignment (Abouelanouar et al ., 2020). Another study revealed that an unbalanced pump reduced the flow rate by 2.4% and the pump's power by 5% (Taneja, 2013).…”

Section: Maintenance Strategies and Energy Efficiencymentioning

confidence: 99%

Maintenance strategies and energy efficiency: a review

Firdaus

Ab-Samat

Prasetyo³

2023

JQME

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PurposeThis paper reviews the literature on maintenance strategies for energy efficiency as a potential maintenance approach. The purpose of this paper is to identify the main concept and common principle for each maintenance strategy for energy efficiency.Design/methodology/approachA literature review has been carried out on maintenance and energy efficiency. The paper systematically classified the literature into three maintenance strategies (e.g. inspection-based maintenance [IBM], time-based maintenance [TBM] and condition-based maintenance [CBM]). The concept and principle of each maintenance strategy are identified, compared and discussed.FindingsEach maintenance strategy's main concept and principle are identified based on the following criteria: data required and collection, data analysis/modeling and decision-making. IBM relies on human senses and common senses to detect energy faults. Any detected energy losses are quantified to energy cost. A payback period analysis is commonly used to justify corrective actions. On the other hand, CBM monitors relevant parameters that indicate energy performance indicators (EnPIs). Data analysis or deterioration modeling is needed to identify energy degradation. For the diagnostics approach, the energy degradation is compared with the threshold to justify corrective maintenance. The prognostics approach estimates when energy degradation reaches its threshold; therefore, proper maintenance tasks can be planned. On the other hand, TBM uses historical data from energy monitoring. Data analysis or deterioration modeling is required to identify degradation. Further analysis is performed to find the optimal time to perform a maintenance task. The comparison between housekeeping, IBM and CBM is also discussed and presented.Practical implicationsThe literature on the classification of maintenance strategies for energy efficiency has been limited. On the other hand, the ISO 50001 energy management systems standard shows the importance of maintenance for energy efficiency (MFEE). Therefore, to bridge the gap between research and industry, the proposed concept and principle of maintenance strategies will be helpful for practitioners to apply maintenance strategies as energy conservation measures in implementing ISO 50001 standard.Originality/valueThe novelty of this paper is in-depth discussion on the concept and principle of each maintenance strategy (e.g. housekeeping or IBM, TBM and CBM) for energy efficiency. The relevant literature for each maintenance strategy was also summarized. In addition, basic rules for maintenance strategy selection are also proposed.

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“…The results show that the closer the blade is to the shell, the more serious the friction is. Abouelanouar et al [26] investigated the effect of misalignment on energy consumption using vibration analysis.…”

Section: Introductionmentioning

confidence: 99%

Misalignment and Rub-Impact Coupling Dynamics of Power Turbine Rotor with Offset Disk

Nan,

Yang,

2024

Applied Sciences

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When the dual rotor system of the aircraft engine is operating, the mass eccentricity of the power turbine rotor and the misalignment of the shaft coupling or the bearing will cause too large vibration of the rotor; this vibration leads to the rub-impact between the rotor and the casing. The power turbine rotor from the dual rotor system is taken as the research object in this paper. Considering the misalignment, the resulting rub-impact faults, the imbalance of rotor and the disk offset, the equation of motion for the system is developed according to the Lagrangian Equation, and then the Range-Kutta Method is adopted to solve the equation. The influence of the key parameters such as the rotating speed, the misalignment angle and the rub-impact clearance on the dynamics of the system is studied; the finite element analysis was carried out to validate the correctness of the theoretical modeling method. The results show that the rub-impact increases the stiffness of the system; the Hopf bifurcation occurs in the misalignment and rub-impact coupling system; the vibrational stability near the half of the switching speed slumps with the increase of the misalignment angle; with increasing of the stiffness, the number of the chaotic zone increases, and the range of the chaos is widening; enlarging the rub-impact clearance is beneficial to reduce the degree of the rub-impact system and enhance the stability of the system.

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Experimental study on energy consumption in rotating machinery caused by misalignment

Cited by 8 publications

References 12 publications

Induction Motor Bearing Fault Diagnosis Based on Singular Value Decomposition of the Stator Current

Induction Motor Bearing Fault Diagnosis Based on Singular Value Decomposition of the Stator Current

Maintenance strategies and energy efficiency: a review

Misalignment and Rub-Impact Coupling Dynamics of Power Turbine Rotor with Offset Disk

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