Examples
Examples
Try the starting example
- Logged operating hours since filter change
- 35
- Supplier/user service interval (operating hours)
- 50
- Expected usage (hours/day)
- 2
- JSON Pressure readings [operating hour,measured pressure Pa]
- [[10,20],[20,25],[30,35]]
- Operating hours until supplied service point
- 15
- Usage days until service point
- 7.5
- Endpoint pressure trend (Pa/operating hour)
- 0.75
Try another scenario
- Logged operating hours since filter change
- 45
- Supplier/user service interval (operating hours)
- 50
- Expected usage (hours/day)
- 2
- JSON Pressure readings [operating hour,measured pressure Pa]
- [[10,20],[20,25],[30,35]]
- Operating hours until supplied service point
- 5
- Usage days until service point
- 2.5
- Endpoint pressure trend (Pa/operating hour)
- 0.75
Calculation method
Calculation method
Operating hours until supplied service point
max(0,b-a)
Usage days until service point
max(0,b-a)/c
Endpoint pressure trend (Pa/operating hour)
(d[-1][1]-d[0][1])/(d[-1][0]-d[0][0])
Symbols and units
- a
- Logged operating hours since filter change
- b
- Supplier/user service interval (operating hours)
- c
- Expected usage (hours/day)
- d
- JSON Pressure readings [operating hour,measured pressure Pa]
Use the units shown. A list keeps the order in which you enter its values. The symbol ^ means “raised to the power of”.
Assumptions & limits
Assumptions & limits
- Descriptive service log from supplied manufacturer interval and measured pressure. Positive usage and distinct first/last hours; no ventilation effectiveness or exposure certification. Supported limits: All numeric inputs must be finite. Only the explicitly described mathematical scenario is supported.
Are these inputs private?
These calculations run in your browser. A shared link contains the values you choose to share. Only questions submitted to the separate AI finder are sent to OpenAI.