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Design of an Integrated System for On-line Test and Diagnosis of Rotary Actuators

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Abstract

In this paper, the design of an on-chip Fault Detection and Diagnosis System for Condition Based Maintenance of electromechanical actuators is presented. The proposed system is based on signal processing algorithms integrated in a customized Application Specific Integrated Circuit (ASIC). The design was synthesized using a 90nm CMOS standard cell library. As a case study, post-synthesis simulations were performed using signals acquired from a real electromechanical valve, using torque and vibration sensors considering both fault-free and defective situations for the actuator. Results show the effectiveness of the system in performing real-time fault detection and identification, with low power consumption and low silicon area utilization.

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References

  1. Acharya T, Ray A K (2005) Discrete wavelet transform. Wiley, New York, pp 79–104. chap 5

    Google Scholar 

  2. Arriola D, Thielecke F (2017) Model-based design and experimental verification of a monitoring concept for an active-active electromechanical aileron actuation system. Mech Syst Signal Process 94:322–345

    Article  Google Scholar 

  3. Devi S J, Saravanan M (2018) An innovative modular device and wireless control system enabling thermal and pressure sensors using fpga on real-time fault diagnostics of steam turbine functional deterioration. Mech Syst Signal Process 102:312–328

    Article  Google Scholar 

  4. Goldman R, Bartleson K, Wood T, Kranen K, Cao C, Melikyan V, Markosyan G (2009) Synopsys’ open educational design kit: Capabilities, deployment and future. In: Proceedings of the 2009 IEEE international conference on microelectronic systems education, pp 20–24

  5. Gonçalves L F, Bosa J L, Balen T R, Lubaszewski M S, Schneider E L, Henriques R V (2011) Fault detection, diagnosis and prediction in electrical valves using self-organizing maps. J Electron Test 27(4):551–564

    Article  Google Scholar 

  6. Hu G, Li H, Xia Y, Luo L (2018) A deep boltzmann machine and multi-grained scanning forest ensemble collaborative method and its application to industrial fault diagnosis. Comput Ind 100:287–296

    Article  Google Scholar 

  7. Lee J (1995) Machine performance monitoring and proactive maintenance in computer-integrated manufacturing: review and perspective. Int J Comput Integr Manuf 8(5):370–380

    Article  Google Scholar 

  8. Li Y, Nilkitsaranont P (2009) Gas turbine performance prognostic for condition-based maintenance. Appl Energy 86(10):2152–2161

    Article  Google Scholar 

  9. Maheswari R U, Umamaheswari R (2017) Trends in non-stationary signal processing techniques applied to vibration analysis of wind turbine drive train - a contemporary survey. Mech Syst Signal Process 85:296–311

    Article  Google Scholar 

  10. Piccoli L B, Henriques R V B, Rocha C, Fabris E E, Pereira C (2015) Proposal of a quality index applied to fault detection method in electrical valves, Springer International Publishing, Cham

  11. Rai A, Upadhyay S H (2017) Bearing performance degradation assessment based on a combination of empirical mode decomposition and k-medoids clustering. Mech Syst Signal Process 93:16–29

    Article  Google Scholar 

  12. Shahbazi M, Poure P, Saadate S (2018) Real-time power switch fault diagnosis and fault-tolerant operation in a dfig-based wind energy system. In: Real-time monitoring, prognosis and resilient control for wind energy systems, vol 116, pp 209–218

  13. Shao H, Jiang H, Li X, Liang T (2018) Rolling bearing fault detection using continuous deep belief network with locally linear embedding. Comput Ind 96:27–39

    Article  Google Scholar 

  14. Swearingen K, Majkowski W, Bruggeman B, Gilbertson D, Dunsdon J, Sykes B (2007) An open system architecture for condition based maintenance overview. In: Proceedings of the 2007 IEEE aerospace conference, pp 1–8

  15. Zhang X, Cui Y, Wang Y, Sun M, Hu H (2018) An improved ae detection method of rail defect based on multi-level anc with vss-lms. Mech Syst Signal Process 99:420–433

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Graduate Program on Microelectronics, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil

    Leonardo B. Piccoli & Tiago R. Balen

  2. Graduate Program on Electrical Engineering, Federal University of Rio Grande do Sul, Porto Alegre, RS, Brazil

    Renato V. B. Henriques

Authors
  1. Leonardo B. Piccoli
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  2. Renato V. B. Henriques
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  3. Tiago R. Balen
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Correspondence to Leonardo B. Piccoli.

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Responsible Editor: K. K. Saluja

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Piccoli, L.B., Henriques, R.V.B. & Balen, T.R. Design of an Integrated System for On-line Test and Diagnosis of Rotary Actuators. J Electron Test 36, 547–553 (2020). https://doi.org/10.1007/s10836-020-05893-2

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  • DOI: https://doi.org/10.1007/s10836-020-05893-2

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