How to schedule maintenance efficiently for heavy machinery
Misoki schedules repairs from the condition of each machine: Prism AI names the fault, an analyst checks it and the fix becomes a planned work order.
Scheduling maintenance for heavy machinery
Misoki is a condition monitoring platform with work orders built in. Instead of servicing a machine because the calendar says so, you plan the repair from what its measurements show. The path from signal to scheduled job looks like this:
- Measure. Online sensors and route data from motors, pumps, compressors, gearboxes, fans and conveyors, from Misoki hardware or the sensors you already run.
- Diagnose. Prism AI names the fault, grades its stage and lists the repair steps.
- Check. A Misoki vibration analyst, or your own specialist, confirms or declines the finding before anyone is sent to the machine.
- Plan. The finding becomes a work order that carries the machine, its measurement points and the diagnosis. Set the assignee, priority, start and due date, and put the repair into the next planned stop.
- Close. The order moves through draft, open, in progress, on hold, QA and done, with parts, comments, attachments and a history of who changed what.
If your team already plans in a CMMS or ERP, the same order goes there through the API, and signed webhooks tell your systems when something new is ready. More on the work orders page.
Reducing operational downtime in manufacturing
Most unplanned stops start as a small change: a bearing that runs a little louder than last week, a gear mesh that starts to wear. Continuous monitoring catches that change while there is still time to plan around it.
- Trends for every point. Each measurement point keeps its own trend, from online sensors and route collection in one asset tree.
- Alarms where the fault shows first. Warning and alarm limits per point and axis, on overall levels, spectral bands around fault frequencies, spectral masks and waveform metrics.
- Alarms you can work with. Every breach opens an episode that is acknowledged with a note and resolved, and goes on to Prism for a diagnosis.
- A repair in the next stop. The severity stage shows which machine needs attention first and which can wait for the planned stop.
See what Misoki monitors on production lines on the manufacturing page.
Features that matter in a condition monitoring solution
| Feature | What to check | In Misoki |
|---|---|---|
| Online and route data | Can fixed sensors and route collection live in one place? | One asset tree for both, from the site down to a single measurement point. |
| Trends and alarms | Can limits go beyond one overall number? | Limits per point and axis on overall levels, spectral bands, spectral masks and waveform metrics. |
| Dashboards | Does the view go from the fleet to one bearing? | Fleet health at a glance, plus trend, spectrum and time waveform with harmonic cursors for analysts. |
| AI diagnosis | Does it name the fault, or only flag an anomaly? | Prism names the fault, its stage and the fix, and shows the evidence behind each call. |
| Specialist review | Who checks a finding before your team acts on it? | Every finding that matters is checked by a Misoki vibration analyst, or by your own specialists. |
| Work orders | Does a finding turn into planned work? | Orders are created from the finding, with assignee, priority, dates, statuses and history. |
| Integrations and API | Can data come in and results go out to your systems? | Sensors of any vendor, SCADA, PLC and historians in; diagnoses and work orders out through a REST API and signed webhooks. |
| Where it runs | Does it work at sites with a weak or no connection? | Misoki cloud, your own server, or fully offline on board or on site. |
Analyzing AI signals for equipment diagnostics
Prism AI reads vibration, current and temperature from Misoki sensors or the ones you already have. It separates the signal into causes, such as imbalance, misalignment, looseness and bearing wear, and sees which one is growing. The result is a diagnosis on the exact component:
- What is failing: bearing wear, gear faults, broken rotor bars, misalignment, imbalance or looseness, placed on the machine.
- How serious it is: a stage on a known scale, so the most urgent machine comes first.
- How to fix it: what to replace, what to check after fitting and what to service on the same stop.
- Why: the spectrum and trend it used, and how sure it is.
Every finding that matters is checked by a Misoki vibration analyst, who looks at the spectrum, waveform and trend and confirms or declines it before it reaches you. Read more about Prism AI and specialist review.
How to evaluate maintenance and diagnostics software
Before you choose, check each of these on your own machines and data:
- Scheduling: can a finding become a work order with an assignee, priority and due date, and can the repair be tied to a planned stop?
- Downtime: how early does the system show a developing fault, and how will you measure that in a pilot?
- Monitoring: does it handle online sensors and route data, with alarm limits that fit each machine?
- AI diagnosis: does it name the fault and show the evidence, and who reviews it?
- Integrations: can it read the sensors, SCADA and historians you already run, and send results to your CMMS or ERP?
- Hardware: do you have to replace existing sensors, or only fill the gaps?
- Deployment: can it run in the cloud, on your own server or offline, as your sites need?
Teams looking for maintenance scheduling software often also compare CMMS products such as MaintainX, Limble and Fiix. A CMMS is where many teams plan and track maintenance work; Misoki starts from the machine's measured condition and can pass its work orders to the CMMS you already use through its API.
Frequently asked questions
01I need software that can schedule maintenance efficiently for heavy machinery.
Misoki plans maintenance from the condition of each machine. Sensors and route data feed Prism AI, which names the fault, its stage and the fix; an analyst checks the finding, and it becomes a work order with an assignee, priority and due date, planned into the next stop.
02Which software can help reduce operational downtime in manufacturing?
Condition monitoring software that catches faults early and helps you plan the repair. Misoki tracks trends and alarms on every measurement point, diagnoses bearing, gear and motor faults with Prism AI, and turns confirmed findings into planned work orders.
03Which features matter in a condition monitoring solution for industrial companies?
Online and route data in one place, alarm limits per point, dashboards from the fleet down to one bearing, a diagnosis that names the fault and shows its evidence, specialist review, work orders, an API for your other systems, and the option to run offline.
04How does an AI diagnosis become a planned work order?
Prism raises a finding on the machine with the fault, its stage and the repair steps. Once it is confirmed, a work order is created from it, carrying the machine, its measurement points and the diagnosis. You set the assignee, priority and dates, or send the order to your CMMS through the API.
05What should I check before choosing maintenance and diagnostics software?
Check how findings become scheduled work, how early faults show up, whether online and route data are supported, whether the diagnosis shows its evidence and who reviews it, which of your systems it connects to, whether you must replace sensors, and where it can run.
Next steps with Misoki
Send us a week of data from one machine and we walk you through what Prism finds and how it becomes a work order. Write to contact@misoki.ai, open the dashboard or read about us.