Acceleration RMS Trend
Sensor Fleet
| Sensor | Status | Latest Reading | Severity | Last Seen | Admin |
|---|---|---|---|---|---|
| No sensors have sent data yet. Check that sensors are powered on and connected. | |||||
Sensor Condition Status
Acceleration Status
NORMAL
- X
- --
- Y
- --
- Z
- --
- Magnitude
- --
Velocity Status
NORMAL
- X
- --
- Y
- --
- Z
- --
- Magnitude
- --
Displacement Status
NORMAL
- X
- --
- Y
- --
- Z
- --
- Magnitude
- --
Health
NORMAL
--
Sensor Profile
- Sensor Type
- --
- Location
- --
- Vendor
- --
- Model
- --
- Available Metrics
- --
- Frequency Source
- --
- Frequency Validation
- --
- Temperature
- --
- Last Update
- --
Data checks
--
Trend Stability Indicators
Engineering Trend Analysis
Velocity RMS Trend
Displacement RMS Trend
Sensor-calculated Frequency Trend
| Axis | Latest | Average | Change | Quality |
|---|---|---|---|---|
| X | — | — | — | — |
| Y | — | — | — | — |
| Z | — | — | — | — |
Visible Trend Summary
- Latest overall RMS
- --
- Latest X
- --
- Latest Y
- --
- Latest Z
- --
- Mean overall RMS
- --
- Maximum overall RMS
- --
- Standard deviation
- --
- Peak-to-mean ratio
- --
- Sample count
- --
- Last data time
- --
6-Month History
Raw shows each received reading as a point. 1 minute and coarser show the reading distribution as a box plot. Use the range and zoom controls, or drag, scroll, and pinch the chart to explore the data.
Box: lower to upper quartileMedianWhiskers end at the minimum and maximum (▲ = runs above the plot; turn Focus off to see it)Single reading
What am I looking at?
Higher values
Lower values
- Maximum
- Highest reading in the interval.
- Q3
- 75% of readings are at or below this value.
- Median
- Middle reading in the interval.
- Q1
- 25% of readings are at or below this value.
- Minimum
- Lowest reading in the interval.
One box per interval. Taller box = more variation.
Bearing Frequency Reference
Enter the bearing details above.
Threshold Configuration
Sensor ID--
Sensor Type--
Location
--
State--
Theme Colour
Sensor List Readings
Pick up to 4. The first is used for sorting.
Record Sensor Data
1
SensorSelect a sensor from the Sensor Fleet
3
CSV save interval only.
- Active recordings
- 0 / 10
- Time recorded
- 0s
- Rows saved
- 0
- File size
- 0 B
- File
- --
Recording details and CSV help
- Live data connection
- --
- Save interval
- --
- Readings not saved between intervals
- 0
- Estimated 30-day file
- --
- All recordings: 30-day estimate
- --
- Delayed file writes
- 0
- Sensors being recorded
- None
- Saved on
- This computer — choose a location when recording starts
How to read the CSV
server_receive_time_utc_iso8601 is the time this IVSS server received the reading.
sensor_timestamp_raw is the sensor's original timestamp. sensor_timestamp_meaning explains how to interpret it.
Units use spreadsheet-safe text: um, degC, and m/s^2.
System Logs
System Health
- Sensor Messages
- --
- Live Stream
- --
- Selected Sensor
- --
- Sensor State
- --
- Data Quality
- --
- Readings per Second
- --
- Readings on Screen
- --
- Readings Thinned Out
- --
- Waiting to Process
- --
- Bad Readings Received
- --
- Last Reading Time
- --
- Recorder
- --
Pattern Recognizer
Live vibration vs. your taught patterns.
Machine is running
--
Awaiting prediction
Nothing taught yet.
Patterns are outdated. Learn them again.
An administrator sets this up in Pattern Setup.
- Match
- --
- Confirmed by
- --recent checks
- Next check
- ----
Last checks
--
X--
Y--
Z--
Freq--
How close is each recorded pattern?
How the result was decided
Awaiting pattern distances.
- Match
- How closely the live vibration fits a recorded pattern. It looks at the vibration level and at how it changes over time.
- Confirmed by
- The shown result only changes after several checks in a row agree, so one noisy reading cannot flip it.
- Unknown pattern
- The vibration does not resemble anything recorded. That can mean a new fault, or a normal condition nobody has recorded yet.
- Ambiguous
- Two recorded patterns fit almost equally well, so the system will not pick one.
Recorded Patterns
What is a “pattern”?
A pattern is a named machine condition you want the system to recognise — for example Normal, Imbalance, or Bearing wear. Anything unlike the recorded examples is shown as unknown.
Select a sensor to manage labels.
Abnormal / unrecognised pattern is automatic - never add it as a label. Pattern recogniser training requires at least 1 label and 20 samples per label.
Record Pattern Example
How do I record a good example?
Run the machine in the condition you want to teach, choose its name, and press record. Save at least 20 examples per pattern.
Recorded Examples
Why does this matter?
Each pattern needs at least 20 examples.
No dataset yet.
Learn Patterns
What happens?
Learns each recorded condition. Run again after changes.
Status
Idle
Stage
--
Samples
--
Labels
--
Pattern Setup
Signals, conditions, examples, learn.
Setup Flow
0 / 5 ready
Pattern Settings
Current Sensor / Device
--
Signals Used For Learning
Which signals should I pick?
These are the kinds of measurement the recogniser learns from. Velocity RMS is the usual all-round choice for rotating machines. Add more only if they help tell your patterns apart — fewer signals give a simpler, steadier model.
1 signal selected for learning
Changing signals clears examples.
Matching
What do these settings do?
Sensitivity controls how close a reading must be to a recorded pattern. Confirm after controls how many readings must agree before the result changes. Check every controls how often the system checks.
Sensitivity changes need re-learning.
Settings version: -- | Last saved: -- | Sync: offline