Pump, Compressor & Rotating Equipment Assembly calculator
Bearing Life Estimate Calculator
The Bearing Life Estimate is a weighted risk score that ranks how much attention a bearing on a pump, compressor, or motor deserves before it fails. Reliability engineers and rotating-equipment planners use it to triage which machines need vibration monitoring or a proactive replacement. Rather than a raw multiplicative RPN, it blends severity, occurrence, and detection with fixed weights so consequence dominates but early-warning capability still counts. It turns three quick judgments into a single comparable number you can sort a fleet by.
What this calculator does
- The Bearing Life Estimate is a weighted risk score that ranks how much attention a bearing on a pump, compressor, or motor deserves before it fails.
- Use it when bearing life estimate in pump, compressor and rotating equipment assembly needs a defensible ranking against other pump, compressor and rotating equipment assembly risks for the next review.
- It computes a weighted bearing risk score: severity times 0.40 plus occurrence times 0.35 plus detection times 0.25.
Formula used
- Bearing Life Estimate risk score = severity × 0.40 + occurrence × 0.35 + detection × 0.25
Inputs explained
- Failure severity if bearing fails:
- Likelihood of early bearing wear:
- Ability to detect bearing degradation:
How to use the result
- Use it during FMEA reviews or maintenance-strategy setting to prioritize which bearings get condition monitoring first.
- Scores are judgment-based inputs, not measured L10 life — calibrate ratings against real failure history to stay honest.
Current U.S. benchmarks
- Industrial electricity averages 8.66 cents per kWh across the U.S. (EIA, Apr 2026), up 5.5% from a year earlier. Energy-intensive steps carry this directly into unit cost.
- Manufacturing hourly earnings average $30.27 (BLS, Jun 2026), up 4.4% from a year earlier. Median machinist pay is $28.24/hr (OEWS 2025), with state medians on each state page. Manufacturers have 529k open positions nationally (BLS JOLTS).
- Steel mill PPI stands at 348.53 (BLS, May 2026), up 6.7% from a year earlier. New factory orders are up 2.3% year over year (Census).
- The U.S. has 21,668 machinery manufacturing establishments employing about 1,086,146 workers (Census County Business Patterns, 2023).
Common questions
- How is the bearing life risk score calculated? Multiply severity by 0.40, occurrence by 0.35, and detection by 0.25, then add them. Scores of 6, 4, and 3 give 2.4 + 1.4 + 0.75 = 4.55.
- Why weight severity higher than detection? A catastrophic bearing seizure that trips a critical compressor matters more than one you can catch early on a spare pump. The 0.40 weight makes consequence the dominant driver.
- What is a high bearing risk score? On this 1-10 scale, scores above about 6 warrant immediate condition monitoring or replacement planning. The default 4.55 is moderate — watch it, but it is not an emergency.
- Is this the same as an FMEA RPN? It is a weighted variant. Classic RPN multiplies all three (giving 72 here), which over-punishes middling ratings. This weighted average keeps scores on the same 1-10 scale and easier to compare.
- How do I score detection for a bearing? Low detection scores mean you catch wear early via vibration or temperature trending; high scores mean failure arrives with little warning. The default 3 reflects decent monitoring coverage.
Last reviewed 2026-05-12.