Performance evaluation of wireless MEMS accelerometer for reciprocating compressor condition monitoring

Zainab Mones, Guojin Feng, U.E. Ogbulaor, Tie Wang, Fengshou Gu, Andrew Ball

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

With recent development in wireless communication and Micro Electro Mechanical Systems (MEMS) technology, it becomes easier to monitor rotating machinery conditions by mounting compact wireless MEMS accelerometers directly on the rotor. This has the potential to provide more accurate dynamic characteristics of the rotating machine and hence achieving high monitoring performance. In this paper, a tiny MEMS accelerometer together with a battery powered microcontroller is mounted on the flywheel to acquire the on-rotor accelerations of a two-stage reciprocating compressor. The measured acceleration data is streamed to a host computer wirelessly via Bluetooth Low Energy (BLE) module. The true tangential acceleration is reconstructed by combining two orthogonal outputs of the sensor, which contain gravitational accelerations. To evaluate the performance of the wireless sensor, three different fault conditions including intercooler leakage, second stage discharge valve leakage and asymmetric stator winding of the motor driver are simulated individually on the compressor test rig. To confirm the wireless sensor performance, an incremental optical encoder was installed on the compressor flywheel to acquire the Instantaneous Angular Speed (IAS) signal for comparison with signals from the wireless sensor. The experimental results show that the running status of the compressor can be remotely monitored, allowing different leakages and motor faults to be diagnosed based on the tangential acceleration reconstructed from a wireless on-rotor MEMS accelerometer.
Original languageEnglish
Title of host publicationPower Engineering
Subtitle of host publicationProceedings of the International Conference on Power Transmissions 2016 (ICPT 2016), Chongqing, P.R. China, 27–30 October 2016
EditorsDatong Qin, Yimin Shao
PublisherCRC Press/Balkema
Pages895-900
Number of pages6
ISBN (Electronic)9781315386812
ISBN (Print)9781138032675
DOIs
Publication statusPublished - 25 Nov 2016
EventInternational Conference on Power Transmissions 2016 - Chongqing, China
Duration: 27 Oct 201630 Oct 2016

Conference

ConferenceInternational Conference on Power Transmissions 2016
Abbreviated titleICPT 2016
CountryChina
CityChongqing
Period27/10/1630/10/16

Fingerprint

Reciprocating compressors
Condition monitoring
Accelerometers
Compressors
Flywheels
Rotors
Sensors
Rotating machinery
Bluetooth
Microcontrollers
Mountings
Stators
Monitoring
Communication

Cite this

Mones, Z., Feng, G., Ogbulaor, U. E., Wang, T., Gu, F., & Ball, A. (2016). Performance evaluation of wireless MEMS accelerometer for reciprocating compressor condition monitoring. In D. Qin, & Y. Shao (Eds.), Power Engineering: Proceedings of the International Conference on Power Transmissions 2016 (ICPT 2016), Chongqing, P.R. China, 27–30 October 2016 (pp. 895-900). CRC Press/Balkema. https://doi.org/10.1201/9781315386829-129
Mones, Zainab ; Feng, Guojin ; Ogbulaor, U.E. ; Wang, Tie ; Gu, Fengshou ; Ball, Andrew. / Performance evaluation of wireless MEMS accelerometer for reciprocating compressor condition monitoring. Power Engineering: Proceedings of the International Conference on Power Transmissions 2016 (ICPT 2016), Chongqing, P.R. China, 27–30 October 2016. editor / Datong Qin ; Yimin Shao. CRC Press/Balkema, 2016. pp. 895-900
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title = "Performance evaluation of wireless MEMS accelerometer for reciprocating compressor condition monitoring",
abstract = "With recent development in wireless communication and Micro Electro Mechanical Systems (MEMS) technology, it becomes easier to monitor rotating machinery conditions by mounting compact wireless MEMS accelerometers directly on the rotor. This has the potential to provide more accurate dynamic characteristics of the rotating machine and hence achieving high monitoring performance. In this paper, a tiny MEMS accelerometer together with a battery powered microcontroller is mounted on the flywheel to acquire the on-rotor accelerations of a two-stage reciprocating compressor. The measured acceleration data is streamed to a host computer wirelessly via Bluetooth Low Energy (BLE) module. The true tangential acceleration is reconstructed by combining two orthogonal outputs of the sensor, which contain gravitational accelerations. To evaluate the performance of the wireless sensor, three different fault conditions including intercooler leakage, second stage discharge valve leakage and asymmetric stator winding of the motor driver are simulated individually on the compressor test rig. To confirm the wireless sensor performance, an incremental optical encoder was installed on the compressor flywheel to acquire the Instantaneous Angular Speed (IAS) signal for comparison with signals from the wireless sensor. The experimental results show that the running status of the compressor can be remotely monitored, allowing different leakages and motor faults to be diagnosed based on the tangential acceleration reconstructed from a wireless on-rotor MEMS accelerometer.",
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Mones, Z, Feng, G, Ogbulaor, UE, Wang, T, Gu, F & Ball, A 2016, Performance evaluation of wireless MEMS accelerometer for reciprocating compressor condition monitoring. in D Qin & Y Shao (eds), Power Engineering: Proceedings of the International Conference on Power Transmissions 2016 (ICPT 2016), Chongqing, P.R. China, 27–30 October 2016. CRC Press/Balkema, pp. 895-900, International Conference on Power Transmissions 2016, Chongqing, China, 27/10/16. https://doi.org/10.1201/9781315386829-129

Performance evaluation of wireless MEMS accelerometer for reciprocating compressor condition monitoring. / Mones, Zainab; Feng, Guojin; Ogbulaor, U.E.; Wang, Tie; Gu, Fengshou; Ball, Andrew.

Power Engineering: Proceedings of the International Conference on Power Transmissions 2016 (ICPT 2016), Chongqing, P.R. China, 27–30 October 2016. ed. / Datong Qin; Yimin Shao. CRC Press/Balkema, 2016. p. 895-900.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - Performance evaluation of wireless MEMS accelerometer for reciprocating compressor condition monitoring

AU - Mones, Zainab

AU - Feng, Guojin

AU - Ogbulaor, U.E.

AU - Wang, Tie

AU - Gu, Fengshou

AU - Ball, Andrew

N1 - No available accepted date on publisher's website or ePrints, but deposited within 3 months of publication date. SH 19/9/17.

PY - 2016/11/25

Y1 - 2016/11/25

N2 - With recent development in wireless communication and Micro Electro Mechanical Systems (MEMS) technology, it becomes easier to monitor rotating machinery conditions by mounting compact wireless MEMS accelerometers directly on the rotor. This has the potential to provide more accurate dynamic characteristics of the rotating machine and hence achieving high monitoring performance. In this paper, a tiny MEMS accelerometer together with a battery powered microcontroller is mounted on the flywheel to acquire the on-rotor accelerations of a two-stage reciprocating compressor. The measured acceleration data is streamed to a host computer wirelessly via Bluetooth Low Energy (BLE) module. The true tangential acceleration is reconstructed by combining two orthogonal outputs of the sensor, which contain gravitational accelerations. To evaluate the performance of the wireless sensor, three different fault conditions including intercooler leakage, second stage discharge valve leakage and asymmetric stator winding of the motor driver are simulated individually on the compressor test rig. To confirm the wireless sensor performance, an incremental optical encoder was installed on the compressor flywheel to acquire the Instantaneous Angular Speed (IAS) signal for comparison with signals from the wireless sensor. The experimental results show that the running status of the compressor can be remotely monitored, allowing different leakages and motor faults to be diagnosed based on the tangential acceleration reconstructed from a wireless on-rotor MEMS accelerometer.

AB - With recent development in wireless communication and Micro Electro Mechanical Systems (MEMS) technology, it becomes easier to monitor rotating machinery conditions by mounting compact wireless MEMS accelerometers directly on the rotor. This has the potential to provide more accurate dynamic characteristics of the rotating machine and hence achieving high monitoring performance. In this paper, a tiny MEMS accelerometer together with a battery powered microcontroller is mounted on the flywheel to acquire the on-rotor accelerations of a two-stage reciprocating compressor. The measured acceleration data is streamed to a host computer wirelessly via Bluetooth Low Energy (BLE) module. The true tangential acceleration is reconstructed by combining two orthogonal outputs of the sensor, which contain gravitational accelerations. To evaluate the performance of the wireless sensor, three different fault conditions including intercooler leakage, second stage discharge valve leakage and asymmetric stator winding of the motor driver are simulated individually on the compressor test rig. To confirm the wireless sensor performance, an incremental optical encoder was installed on the compressor flywheel to acquire the Instantaneous Angular Speed (IAS) signal for comparison with signals from the wireless sensor. The experimental results show that the running status of the compressor can be remotely monitored, allowing different leakages and motor faults to be diagnosed based on the tangential acceleration reconstructed from a wireless on-rotor MEMS accelerometer.

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KW - micro electrical mechanical systems

KW - MEMS accelerometer

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DO - 10.1201/9781315386829-129

M3 - Conference contribution

SN - 9781138032675

SP - 895

EP - 900

BT - Power Engineering

A2 - Qin, Datong

A2 - Shao, Yimin

PB - CRC Press/Balkema

ER -

Mones Z, Feng G, Ogbulaor UE, Wang T, Gu F, Ball A. Performance evaluation of wireless MEMS accelerometer for reciprocating compressor condition monitoring. In Qin D, Shao Y, editors, Power Engineering: Proceedings of the International Conference on Power Transmissions 2016 (ICPT 2016), Chongqing, P.R. China, 27–30 October 2016. CRC Press/Balkema. 2016. p. 895-900 https://doi.org/10.1201/9781315386829-129