Sensorless Speed Estimation for the Diagnosis of Induction Motors via MCSA. Review and Commercial Devices Analysis
Sensorless speed estimation has been extensively studied for its use in control schemes. Nevertheless, it is also a key step when applying Motor Current Signature Analysis to induction motor diagnosis: accurate speed estimation is vital to locate fault harmonics, and prevent false positives and fals...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/15/5037 |
| _version_ | 1797525126013517824 |
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| author | Jorge Bonet-Jara Alfredo Quijano-Lopez Daniel Morinigo-Sotelo Joan Pons-Llinares |
| author_facet | Jorge Bonet-Jara Alfredo Quijano-Lopez Daniel Morinigo-Sotelo Joan Pons-Llinares |
| author_sort | Jorge Bonet-Jara |
| collection | DOAJ |
| description | Sensorless speed estimation has been extensively studied for its use in control schemes. Nevertheless, it is also a key step when applying Motor Current Signature Analysis to induction motor diagnosis: accurate speed estimation is vital to locate fault harmonics, and prevent false positives and false negatives, as shown at the beginning of the paper through a real industrial case. Unfortunately, existing sensorless speed estimation techniques either do not provide enough precision for this purpose or have limited applicability. Currently, this is preventing Industry 4.0 from having a precise and automatic system to monitor the motor condition. Despite its importance, there is no research published reviewing this topic. To fill this gap, this paper investigates, from both theoretical background and an industrial application perspective, the reasons behind these problems. Therefore, the families of sensorless speed estimation techniques, mainly conceived for sensorless control, are here reviewed and thoroughly analyzed from the perspective of their use for diagnosis. Moreover, the algorithms implemented in the two leading commercial diagnostic devices are analyzed using real examples from a database of industrial measurements belonging to 79 induction motors. The analysis and discussion through the paper are synthesized to summarize the lacks and weaknesses of the industry application of these methods, which helps to highlight the open problems, challenges and research prospects, showing the direction in which research efforts have to be made to solve this important problem. |
| first_indexed | 2024-03-10T09:09:17Z |
| format | Article |
| id | doaj.art-89621746c8c4466b974e627f61b866e8 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T09:09:17Z |
| publishDate | 2021-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-89621746c8c4466b974e627f61b866e82023-11-22T06:09:34ZengMDPI AGSensors1424-82202021-07-012115503710.3390/s21155037Sensorless Speed Estimation for the Diagnosis of Induction Motors via MCSA. Review and Commercial Devices AnalysisJorge Bonet-Jara0Alfredo Quijano-Lopez1Daniel Morinigo-Sotelo2Joan Pons-Llinares3Instituto Tecnológico de la Energía, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, SpainInstituto Tecnológico de la Energía, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, SpainResearch Group ADIRE, Institute of Advanced Production Technologies (ITAP), University of Valladolid, 47011 Valladolid, SpainInstituto Tecnológico de la Energía, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, SpainSensorless speed estimation has been extensively studied for its use in control schemes. Nevertheless, it is also a key step when applying Motor Current Signature Analysis to induction motor diagnosis: accurate speed estimation is vital to locate fault harmonics, and prevent false positives and false negatives, as shown at the beginning of the paper through a real industrial case. Unfortunately, existing sensorless speed estimation techniques either do not provide enough precision for this purpose or have limited applicability. Currently, this is preventing Industry 4.0 from having a precise and automatic system to monitor the motor condition. Despite its importance, there is no research published reviewing this topic. To fill this gap, this paper investigates, from both theoretical background and an industrial application perspective, the reasons behind these problems. Therefore, the families of sensorless speed estimation techniques, mainly conceived for sensorless control, are here reviewed and thoroughly analyzed from the perspective of their use for diagnosis. Moreover, the algorithms implemented in the two leading commercial diagnostic devices are analyzed using real examples from a database of industrial measurements belonging to 79 induction motors. The analysis and discussion through the paper are synthesized to summarize the lacks and weaknesses of the industry application of these methods, which helps to highlight the open problems, challenges and research prospects, showing the direction in which research efforts have to be made to solve this important problem.https://www.mdpi.com/1424-8220/21/15/5037fault diagnosisinduction motorsMCSAsensorless speed estimationIndustry 4.0 |
| spellingShingle | Jorge Bonet-Jara Alfredo Quijano-Lopez Daniel Morinigo-Sotelo Joan Pons-Llinares Sensorless Speed Estimation for the Diagnosis of Induction Motors via MCSA. Review and Commercial Devices Analysis Sensors fault diagnosis induction motors MCSA sensorless speed estimation Industry 4.0 |
| title | Sensorless Speed Estimation for the Diagnosis of Induction Motors via MCSA. Review and Commercial Devices Analysis |
| title_full | Sensorless Speed Estimation for the Diagnosis of Induction Motors via MCSA. Review and Commercial Devices Analysis |
| title_fullStr | Sensorless Speed Estimation for the Diagnosis of Induction Motors via MCSA. Review and Commercial Devices Analysis |
| title_full_unstemmed | Sensorless Speed Estimation for the Diagnosis of Induction Motors via MCSA. Review and Commercial Devices Analysis |
| title_short | Sensorless Speed Estimation for the Diagnosis of Induction Motors via MCSA. Review and Commercial Devices Analysis |
| title_sort | sensorless speed estimation for the diagnosis of induction motors via mcsa review and commercial devices analysis |
| topic | fault diagnosis induction motors MCSA sensorless speed estimation Industry 4.0 |
| url | https://www.mdpi.com/1424-8220/21/15/5037 |
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