1986
DOI: 10.1016/0250-6874(86)80026-9
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Flip-flop sensors: a new class of silicon sensors

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Cited by 23 publications
(7 citation statements)
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“…If the mass is fluctuated by (7) (6) (8) white noise, then the direction of pull-in becomes stochastic, and the probability varies depending on the strain applied to the sensor. Using a massspring system with counterelectrode on both sides, if a voltage sufficient for pull-in is applied, then a bidirectionally unstable state is generated.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…If the mass is fluctuated by (7) (6) (8) white noise, then the direction of pull-in becomes stochastic, and the probability varies depending on the strain applied to the sensor. Using a massspring system with counterelectrode on both sides, if a voltage sufficient for pull-in is applied, then a bidirectionally unstable state is generated.…”
Section: Resultsmentioning
confidence: 99%
“…A previous paper reported a similar sensing principle using silicon transistors [8], but this sensor did not work at high temperature. This sensor is based on the principle that it depends on the physical quantity applied to the sensor to which direction the bidirectionally unstable state of an electromechanical system statistically tends to go, when the state is switched from a monostable state fluctuating with noise.…”
Section: Introductionmentioning
confidence: 99%
“…Elata and Abu-Salih (2005) proposed, and experimentally validated (Abu-Salih and Elata 2006), to utilize the electromechanical buckling of the micro-bridge for determining the residual stress in micro-machined devices. In general, a sensor, which switches its operating state in reaction to the crossing of a threshold value of its input, is called Limit-switch sensor (Wilcox and Dankowicz 2011) or Flip-flop sensor (Lian and Middelhoek 1986). As an example, the pull-in of a beam has been used in a micro-machined voltage reference (Cretu et al 2001).…”
Section: Introductionmentioning
confidence: 99%
“…Using the slope of the CDF, the magnitude of the input can be deduced from the counter value. The predicted sampling variance is [22]: where N is the number of measurement cycles and p and q are the probability for each side of the stochastic sensor to get a "1". This probability is close to 0.5 for our application.…”
Section: Flip-flop Stochastic Sensormentioning
confidence: 99%
“…This probability is close to 0.5 for our application. The probability for a "1" decision is given by [22]:…”
Section: Flip-flop Stochastic Sensormentioning
confidence: 99%