Lab #10 Report (Redo)

please show work answer is D

4:07 3G l. Moodle A bbb2.du.edu.om EE ...Session (15-3- Said Grami O College of Engineering Vision for the Future Question 3 During a step function calibration, a first-order instrument is exposed to a step change of 200 units. 1- If after 1.5 s the instrument indicates 140 units, find the instrument time constant. 2- find the error in the indicated value after 2 s S. 3- Find the raise time at 90 % of the system. y(0)=0 units; K=1 unit/unit. Question 4 A first order instrument with a time constant of 2 seconds is to be used to measure a periodic input. If a dynamic error of ±2% can be tolerated, 1- determine the maximum frequency of periodic input that can be measured. 2- What is the associated time lag (in seconds) at that frequency? MECH374: Instrumentation and Measurement Said Grami Practice

A temperature measurement system is composed of a sensor and a readout device. The readout device has a claimed accuracy of 0.6 °C with a resolution of 0.1 °C. The sensor has an off-the-shelf limit of error of 0.5 °C. Estimate a design-stage uncertainty in the temperature indicated by this combination. A displacement transducer has the following specifications: Linearity error:±0.25% reading Drift:±0.05%/°C reading Sensitivity error: ±0.25% reading Excitation:  10-25 V Output:  dc 0-5Vdc   Range: 0-5 cm The transducer output is to be indicated on a voltme- ter having a stated accuracy of 0:1% reading with a resolution of 10 μV. The system is to be used at room temperature, which can vary by 10 °C. Estimate an uncertainty in a nominal displacement of 2 cm at the design stage. Assume 95% confidence.

26. One of the joints of a certain industrial robot has a type L joint with a range of 1.3 m. The bit storage capacity of the robot controller is 25 bits for this joint. The mechanical errors form a normally distributed random variable about a given taught point. The mean of the distribution is zero and the standard deviation is 0.08 mm in the direction of the output link of the joint. Determine the control resolution (CR), accuracy, and repeatability for this robot joint.

What's the correlation coefficient of the following data set? x = [-3 3 4 2 1 1 4 5] and y = [-3 2 8 -2 0 3 7 8] Type your answer...

A temperature measurement system has the following specifications: -128 to 781°C Range Linearity error 0.29% FSO Hysteresis error 0.12% FSO Sensitivity error 0.04% FSO Zero drift 0.32% FSO FSO stands for "Full Scale Output". Estimate the overall instrument uncertainty for this system based on the available information. Use the maximum possible output range over the FSO in your computations.

A thermocouple was used to measure the temperature. Over the range of temperatures expected in the experiment, a linear regression analysis was performed for the temperature as a function of voltage. The best-fit equation was T = (-0.008563 + 220*V), where V is the thermocouple voltage. The voltage was fed into a 11-bit A/D converter with a voltage range of -8 V to 8 V. Determine the measurement resolution (in °C) due to the ADC? O 0.851 None O 3.113 1.710 0.393 4.960 1.144 O 3.797

Sample Paychrometrie Chart (Use the Chart from the Weather ToolKit 6.0 WET BULB (WB) TEMPERATURE 5.5 35 5.0 作30 4.5 300 4.0 25 HMIDI 3.5 20 3.0 2.5 15 20 68% 2.0 S0% 1.5 10 (kPa) 100 1.0 20% 0.5 10% 0.0 -10-5 0 5 10 15 20 25 30 35 40 DRY BULB TEMPERATURE (Celsius) At a temperature of 25 °C what is the mixing ratio if the relative humidity is E Work from the printed chart from the Tools folder O a) 12.5 g/kg Ob) 16.5 g/kg O) 18.5 g/kg O d) 20 g/kg O e) 22.5 g/kg VAPOUR URE

calculate the step by step

Asap

pleas show all steps Given three production runs of test data with five samples each, determine the control limits for the upper and lower control limits for the associated Xbar and R charts (values are in mm): X1 X2 X3 19.5 19.9 19.6 19.9 20.0 19.4 19.2 19.7 20.3 20.3 19.9 20.1 20.0 19.3 19.7 Sample Size Az 2 DA D3 dz 1.880 3.267 1.128 3 1.023 2.575 1.693 4 0.729 2.282 2.059 5 0.577 2.115 2.326 6 0.483 2.004 2.534 7 0.419 1.924 0.078 2.704 8 0.373 1.864 0.136 2.847 9 10 0.337 1.816 0.184 2.970 0.308 1.777 0.223 3.078 12 0.266 1.716 0.284 3.258 15 0.223 1.652 0.348 3.472 20 0.180 1.586 0.414 3.735

As an engineer working for a water bottling company, you collect the following data in order to test the performance of the bottling systems. Assume normal distribution. Milliliters of Water in the Bottle Frequency 485 490 milliliters 495 500 505 510 515 What is the mean (in milliliters)? milliliters What is the standard deviation (in milliliters)? What is the z value corresponding to 490 milliliters? Z = 6 12 20 33 18 11 00 8

In Matlab, use the ISS and generate optical measurements with a measurement error of 2 arcsecondsstandard deviation ((2 arcseconds)2 covariance) observing from lat = 40.43113 and long = -86.91499.

The rapid progress of engineering design and information technology has caused difficulties in analyzing system reliability. Because of the increased complexity in system reliability structure (component/subsystem interfaces), many unexpected failure modes could occur, and their behaviors are interdependent. At a system’s design and development stage, the main challenge in analyzing a complex system is the failure uncertainty introduced by the incomplete knowledge of the system. This makes it hard to decompose system reliability into subsystem/component reliability in a deterministic manner, such as series or parallel systems. As a result, some common reliability analysis tools such as fault tree (FT) and reliability block diagram (RBD) become inadequate. Do you agree, why or why not? Are there any other approaches to system reliability assessment beside these tools at the early system’s design and development stage (what are these approaches)?

A force measurement system (weight scale) has the following specifications as shown in Table 1: Estimate the overall instrument uncertainty for this system based on available information. FSO refers to full-scale operating range.

Explain the results of the assessment using the time graph and at least three of the measurements collected (i.e. Peak power, Total power, etc.)

3. Examine your data in Data Table 2 and in Data Table 3. For the data with the smallest percentage difference, compare the total energy at each point. Calculate the sum U₁+Ug at x₁ as ½kx-mgx₁. Calculate that sum at x₂ as ½kx²-mgx₂. Do you expect them to agree reasonably well? Explain why they should or should not be the same. 4. Consider the same data as used in Question 3. Calculate the value of x halfway between x₁ and x₂. Calculate U₁+Ug=½kx² − mgx_for_that point. Do you expect them to agree with the energy calculated in Question 3? If they agree reasonably well, explain why they do. If they do not agree, explain why they do not agree.