CVA Study Guide 2026
Everything you need to pass the CVA exam in one place: the exam format, every topic to study, real practice questions with explanations, flashcards, and full-length practice tests. Free, no sign-up needed.
📋 CVA Exam Format at a Glance
📚 CVA Topics to Study (22)
✍️ Sample CVA Questions & Answers
1. What is the typical shape of a shaft orbit for a machine running with pure rotor unbalance?
Pure unbalance generates a nearly circular or elliptical orbit because the centrifugal force is constant in magnitude and rotates at shaft speed with a consistent phase relationship in both measurement directions.
2. Which standard focuses on vibration severity in rotating machinery?
ISO 10816 is a key international standard specifically designed for the measurement and evaluation of mechanical vibration of non-reciprocating machines. It provides comprehensive guidelines for assessing the severity of vibration in various types of rotating machinery. This helps determine their operational health and the potential need for maintenance or repair.
3. Which bearing defect frequency is most affected by shaft speed variation?
All four bearing defect frequencies (BPFO, BPFI, BSF, FTF) are directly proportional to shaft rotational speed, so any change in operating speed shifts all defect frequencies proportionally.
4. What is a natural frequency (also called resonant frequency)?
A natural frequency is a property of the system itself (fn = (1/2π)√(k/m)) that determines the rate at which it oscillates freely; it depends only on mass and stiffness, not on the excitation.
5. What is aliasing in digital signal processing?
Aliasing occurs when the sampling rate is insufficient (below twice the highest frequency of interest), causing high-frequency signals to appear as false low-frequency components.
6. What type of maintenance uses condition monitoring data?
Condition monitoring data is the cornerstone of predictive maintenance. By analyzing trends in vibration, temperature, oil quality, and other parameters, maintenance teams can predict when a machine component is likely to fail. This allows for maintenance to be scheduled precisely when needed, optimizing resource allocation and preventing unexpected breakdowns, unlike reactive or corrective approaches.