High-Temperature Self-Powered Sensing System for a Smart Bearing in an Aircraft Jet Engine

Zaghari, Bahareh; Weddell, Alex S.; Esmaeili, Kamran; Bashir, Imran; Harvey, Terry J.; White, Neil; Mirring, Patrick; Wang, Ling

doi:10.1109/tim.2020.2971288

Cited by 32 publications

(21 citation statements)

References 41 publications

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“…However, the electromagnetic wave energy density in space is limited, and the power of this self-powered method is too low, so it is generally used in places with high electromagnetic field strength such as substations. Zaghari et al [16] of the University of South Preston in the United Kingdom developed a wireless sensor node that collects electromagnetic vibration energy and provides an output power of 58 μW.…”

Section: Related Workmentioning

confidence: 99%

Simulation of Steady‐State Temperature Rise of Electric Heating Field of Wireless Sensor Circuit Fault Current Trigger

Zhao

Zhuang

et al. 2021

Journal of Sensors

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This article analyzes the structure of the wireless sensor circuit, considering the balance of power consumption, integration, area, noise, etc., and adopts a radio frequency wireless sensor circuit with a low-IF structure. Through the analysis and comparison of traditional analog current trigger and digital current trigger structure, the feed-forward current trigger structure is selected, which is composed of received signal strength indicator (RSSI) and variable gain amplifier (VGA), which achieves low power consumption, fast stabilization time, and wide dynamic range design. The received signal strength indicator adopts the form of approximate logarithmic amplifier, five-stage double feedback loop structure, and realizes lower power consumption. In order to prevent the load current trigger from entering the speed saturation zone, a gain unit structure in which the superimposed current trigger is connected to the NMOS tube as the load is proposed. The test results show that the circuit has a good power consumption performance (1 mW) and at the same time 56.8 dB/m sensitivity. In this paper, through the analysis of the current trigger system and the analysis and comparison of the existing variable gain amplifiers, the variable gain amplifier structure composed of the folded wireless sensing unit and the index control unit is adopted. In order to reduce the power consumption of the circuit and increase the output swing, a structure in which the two-stage folding wireless sensor unit shares the controlled voltage-to-current part of the circuit is proposed. Aiming at the design requirements of the system, this article discussed in detail the architecture of the entire temperature measurement node and the design parameters of the chip and completed the overall architecture design of the chip. The simulation results of the steady-state temperature rise of the electric heating field show that the circuit has achieved an input dynamic adjustment range of more than 60 dB, the maximum power consumption is 1 mW, and the linearity error is less than 0.5 dB. The designed automatic gain control circuit is implemented in SMIC 0.18 cape CMOS process. The simulation results of the steady-state temperature rise of the electric heating field show that the circuit has a 56 dB input dynamic adjustment range within a linear error of 1.25 dB, and the time constant is 7.55 ms, and power consumption is 2.84 mW. Through the steady-state temperature rise simulation and test results of the electric heating field, the correctness of the design is verified and it meets the system requirements.

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Section: Related Workmentioning

confidence: 99%

Simulation of Steady‐State Temperature Rise of Electric Heating Field of Wireless Sensor Circuit Fault Current Trigger

Zhao

Zhuang

et al. 2021

Journal of Sensors

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“…This need implies that even testing activity, during product development, performs the machine condition monitoring (MCM), to test sensors, the data acquisition system, rotor-bearing system and the overall elements in advance, before that they are monitored in service. Moreover, some new concepts of smart bearing [4,5] gradually rise up, in the literature, as a useful tool for many industrial applications [1,[6][7][8]. The smart bearing system aims at reaching two main goals, i.e., an effective detection of bearing failure, for different operational regimes, as well as a useful monitoring of the machine behavior, through the bearing itself, when possible.…”

Section: Introductionmentioning

confidence: 99%

Design of an Innovative Test Rig for Industrial Bearing Monitoring with Self-Balancing Layout

et al. 2022

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The remote prognosis and diagnosis of bearings can prevent industrial system failures, but the availability of realistic experimental data, being as close as possible to those detected in industrial applications, is essential to validate the monitoring algorithms. In this paper, an innovative bearing test rig architecture is presented, based on the novel concept of “self-contained box”. The monitoring activity is applicable to a set of four middle-sized bearings simultaneously, while undergoing the independent application of radial and axial loads in order to simulate the behavior of the real industrial machinery. The impact of actions on the platform and supports is mitigated by the so-called “self-contained box” layout, leading to self-balancing of actions within the rotor system. Moreover, the high modularity of this innovative layout allows installing various sized bearings, just changing mechanical adapters. This leads to a reduction of cost as well as of system down-time required to change bearings. The test rig is equipped with suitable instrumentation to develop effective procedures and tools for in- and out-monitoring of the system. An initial characterization of the healthy system is presented.

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“…A plethora of older critical Cyber-Physical System are transitioning to wireless connectivity such as the use of Wireless Remote Terminal Unit (RTU) in the monitoring and control of SCADA systems including the electricity grid and industrial processes. Even aircraft and aerospace systems cannot resist the benefits of wireless connectivity [37]. Furthermore, emerging CPS technologies such as self-driving cars significantly rely on a multitude of wireless links for their operations.…”

Section: Introductionmentioning

confidence: 99%

Towards an AI-Driven Universal Anti-Jamming Solution with Convolutional Interference Cancellation Network

Nguyen¹,

Noubir²

2022

Preprint

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Wireless links are increasingly used to deliver critical services, while intentional interference (jamming) remains a very serious threat to such services. In this paper, we are concerned with the design and evaluation of a universal anti-jamming building block, that is agnostic to the specifics of the communication link and can therefore be combined with existing technologies. We believe that such a block should not require explicit probes, sounding, training sequences, channel estimation, or even the cooperation of the transmitter. To meet these requirements, we propose an approach that relies on advances in Machine Learning, and the promises of neural accelerators and software defined radios. We identify and address multiple challenges, resulting in a convolutional neural network architecture and models for a multi-antenna system to infer the existence of interference, the number of interfering emissions and their respective phases. This information is continuously fed into an algorithm that cancels the interfering signal. We develop a twoantenna prototype system and evaluate our jamming cancellation approach in various environment settings and modulation schemes using Software Defined Radio platforms. We demonstrate that the receiving node equipped with our approach can detect a jammer with over 99% of accuracy and achieve a Bit Error Rate (BER) as low as 10 −6 even when the jammer power is nearly two orders of magnitude (18 dB) higher than the legitimate signal, and without requiring modifications to the link modulation. In non-adversarial settings, our approach can have other advantages such as detecting and mitigating collisions.

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High-Temperature Self-Powered Sensing System for a Smart Bearing in an Aircraft Jet Engine

Cited by 32 publications

References 41 publications

Simulation of Steady‐State Temperature Rise of Electric Heating Field of Wireless Sensor Circuit Fault Current Trigger

Simulation of Steady‐State Temperature Rise of Electric Heating Field of Wireless Sensor Circuit Fault Current Trigger

Design of an Innovative Test Rig for Industrial Bearing Monitoring with Self-Balancing Layout

Towards an AI-Driven Universal Anti-Jamming Solution with Convolutional Interference Cancellation Network

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