National Institute of Technology
Texmaco Rail and Engineering Interview Questions and Answers
Q1. What are the difference between Type I and Type II error?
Type I error is rejecting a true null hypothesis, while Type II error is failing to reject a false null hypothesis.
Type I error is also known as a false positive.
Type II error is also known as a false negative.
Type I error occurs when the researcher concludes that there is a significant effect when there is not.
Type II error occurs when the researcher concludes that there is no significant effect when there actually is.
The probability of Type I error is denoted by alpha, whil...read more
Q2. Why in case of DC machine , Field pole arrangement is on stator and Armature Winding on Rotor ? what happens if reverse ?
Q3. Why stability is improved using decreasing reactance in power flow equations ?
Q4. What are the motors used for Electrical Vehicles ?
Q5. Why IGBT is Voltage source and BJT is current source device ?
Q6. In IGBT , Voltage across Gate to source will controlled the performance of IGBT i.e More charge carriers will available as Gate Source voltage increased. Hence Voltage controlled device.
IGBT is a voltage-controlled device where the performance is influenced by the voltage across the gate and source.
IGBT stands for Insulated Gate Bipolar Transistor.
The voltage across the gate and source controls the conductivity of the IGBT.
Increasing the gate-source voltage allows more charge carriers to be available, enhancing the device's performance.
IGBTs are commonly used in power electronics applications due to their high efficiency and fast switching speeds.
Q7. Explain about the difficult session conducted
The difficult session involved addressing challenging behavior and lack of motivation among trainees.
Focused on identifying root causes of behavior and motivation issues
Implemented personalized strategies to address individual needs
Used positive reinforcement and encouragement to boost morale
Provided additional support and resources for struggling trainees
Q8. explain Regularization
Regularization is a technique used to prevent overfitting in machine learning models.
Regularization adds a penalty term to the loss function to discourage complex models.
It helps to reduce the variance of the model and improve its generalization performance.
L1 and L2 regularization are commonly used techniques.
L1 regularization adds the absolute value of the coefficients to the loss function.
L2 regularization adds the square of the coefficients to the loss function.
The streng...read more
Q9. Average unit weight of soil
Average unit weight of soil is the weight of soil per unit volume.
Average unit weight of soil is typically measured in pounds per cubic foot (pcf) or kilonewtons per cubic meter (kN/m^3).
It is influenced by factors such as moisture content, compaction, and type of soil.
For example, the average unit weight of dry sand is around 100 pcf, while the average unit weight of saturated clay is around 120 pcf.
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