TY - GEN
T1 - A hardware and software integration approach for development of a non-invasive condition monitoring systems for motor-coupled gears faults diagnosis
AU - Irfan, Muhammad
AU - Saad, Nordin
AU - Ibrahim, Rosdiazli
AU - Asirvadam, Vijanth S.
AU - Nor, Nursyarizal Mohd
AU - Alwadie, Abdullah
AU - Sheikh, Muhammad Aman
N1 - Publisher Copyright:
© Springer Nature Singapore Pte Ltd. 2017.
PY - 2017/8/26
Y1 - 2017/8/26
N2 - A non-invasive condition monitoring system for diagnosis of faults is vital for induction motors to operate safely and reliably. The currently used invasive techniques need direct access to the motor to collect and analyze data. Furthermore, the sensors used in invasive techniques are relatively expensive. This paper presents the development of hardware and software integrations for non-invasive diagnostic system to monitor specifically motor-coupled gear defects. The proposed system employs instantaneous power analysis, a unique technique for diagnostic condition monitoring which allows real-time non-stop tracking as well as assesses the severity of the defects. This technique can be adopted for decision-making that is not only fast but reliable. The severity of different gear defects have been studied experimentally, and the results were analyzed. The effectiveness of the proposed method has been verified through experimentation from the actual hardware implementation through the system-design platform and development environment software tool, LabVIEW.
AB - A non-invasive condition monitoring system for diagnosis of faults is vital for induction motors to operate safely and reliably. The currently used invasive techniques need direct access to the motor to collect and analyze data. Furthermore, the sensors used in invasive techniques are relatively expensive. This paper presents the development of hardware and software integrations for non-invasive diagnostic system to monitor specifically motor-coupled gear defects. The proposed system employs instantaneous power analysis, a unique technique for diagnostic condition monitoring which allows real-time non-stop tracking as well as assesses the severity of the defects. This technique can be adopted for decision-making that is not only fast but reliable. The severity of different gear defects have been studied experimentally, and the results were analyzed. The effectiveness of the proposed method has been verified through experimentation from the actual hardware implementation through the system-design platform and development environment software tool, LabVIEW.
KW - Condition monitoring
KW - Fault diagnosis
KW - Gear faults
KW - Instantaneous power analysis
KW - System-design platform and development environment
UR - http://www.scopus.com/inward/record.url?scp=85028974573&partnerID=8YFLogxK
U2 - 10.1007/978-981-10-6463-0_55
DO - 10.1007/978-981-10-6463-0_55
M3 - Conference contribution
AN - SCOPUS:85028974573
SN - 9789811064623
T3 - Communications in Computer and Information Science
SP - 642
EP - 655
BT - Modeling, Design and Simulation of Systems - 17th Asia Simulation Conference, AsiaSim 2017, Proceedings
A2 - Mohamed Ali, Mohamed Sultan
A2 - Wahid, Herman
A2 - Mohd Subha, Nurul Adilla
A2 - Sahlan, Shafishuhaza
A2 - Md. Yunus, Mohd Amri
A2 - Wahap, Ahmad Ridhwan
PB - Springer Verlag
T2 - 17th International Conference on Asia Simulation, AsiaSim 2017
Y2 - 27 August 2017 through 29 August 2017
ER -