RT info:eu-repo/semantics/article
T1 Sensorless speed estimation for the diagnosis of induction motors via MCSA. Review and commercial devices analysis
A1 Bonet Jara, Jorge
A1 Quijano Lopez, Alfredo
A1 Moríñigo Sotelo, Daniel
A1 Pons Llinares, Joan
K1 Electric motors, Induction
K1 Motores de inducción
K1 Motores
K1 Industry 4.0
K1 Industria - Tecnología
K1 Fault diagnosis
K1 MCSA
K1 Sensorless speed estimation
K1 3306.03 Motores Eléctricos
AB 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.
PB MDPI
SN 1424-8220
YR 2021
FD 2021
LK https://uvadoc.uva.es/handle/10324/59253
UL https://uvadoc.uva.es/handle/10324/59253
LA eng
NO Sensors, 2021, Vol. 21, Nº. 15, 5037
NO Producción Científica
DS UVaDOC
RD 18-nov-2024