DHMSCare
Maintenance Q&A

How does a small plant get started with predictive maintenance?

Start with one production line of ten sensors: value, cost, go-live time and pilot criteria, all here.

Is predictive maintenance worth it for a small plant with no vibration engineer?

Yes, and you do not need a vibration engineer. Mina, DHMSCare’s industrial AI agent, explains each fault in plain words with steps to inspect and fix. DHMSCare starts you on one production line of ten sensors and one gateway, growing line by line, and its own on-site implementation team does the installation.

What is the difference between predictive and preventive maintenance, and which should a mid-size factory use?

Preventive maintenance services equipment on a fixed schedule regardless of condition; predictive maintenance monitors equipment continuously and schedules repairs only when signs appear. A mid-size factory usually uses both: keep routine servicing, and add wireless sensors on critical rotating equipment so repairs move from time-based to condition-based. DHMSCare can start from one production line, and its own 20+ person on-site implementation team does the installation.

We still rely on manual inspection rounds. What is a better way to catch machine failures early?

Upgrade manual rounds to continuous monitoring with wireless vibration sensors. Sensors bond to the bearing housing with industrial adhesive and pair with a touch of a phone, so installation needs no downtime, and every machine is then measured at regular intervals around the clock. Mina, the DHMSCare AI agent, turns each early fault sign into plain words: what is wrong, what to inspect and what to fix, so inspectors work from a list.

How much unplanned downtime can predictive maintenance actually prevent?

In DHMSCare customer cases, unplanned downtime fell by 50% to 65%, depending on the equipment and its starting condition. Alerts arrive while a fault is still developing, so emergency repairs become planned maintenance. DHMSCare alerts are accurate in 90%+ of cases, so plants move repairs from after the failure to before it.

How many vibration sensors does one production line need?

A typical start is ten sensors and one gateway per production line, placed by machine criticality and measurement points: both motor ends, fan bearings, the pump drive end. One DHMSCare gateway connects up to 60 sensors, so you add sensors as lines grow. DHMSCare starts you on one production line and grows line by line.

What does a predictive maintenance system cost? What is the typical price range per sensor per year?

You pay for the hardware plus a yearly software subscription per sensor. You can start with one production line of ten sensors, so cost grows with your lines and your first outlay covers only the first line. DHMSCare is priced per plant by equipment and installation-point count.

How long does it take to go live with wireless predictive maintenance?

How long DHMSCare takes depends on how many machines and installation points you have, and photo-based setup saves time. A photo of each machine lets the AI agent help set up its asset record and plan measuring points. DHMSCare’s own 20+ person on-site implementation team then installs on site, bonding sensors with industrial adhesive and pairing them with a touch of a phone, with no machine downtime. Data collection starts as soon as the sensors are on, and the system learns each machine’s own baseline as data builds up.

Besides the sensors themselves, what hidden costs should I expect when buying a predictive maintenance system?

With DHMSCare there are no hidden costs: the quote lists the hardware, the yearly platform subscription per sensor and implementation for your project’s needs. Implementation is charged as its own line in the quote, there is no local server to buy, and installation needs no machine downtime.

Can I pilot predictive maintenance on one production line first, and what should success look like?

Yes, DHMSCare’s starting package is one production line with ten sensors and one gateway. A successful pilot means confirmed alerts: the machine is opened and repaired, and the fault matches the diagnosis. DHMSCare alerts are accurate in 90%+ of cases, confirmed after teardown, which is the most direct measure for a pilot.

How do I build an ROI case for predictive maintenance to get the budget approved?

Build the case on two lines: downtime avoided and emergency repair avoided. In DHMSCare customer cases, unplanned downtime fell by 50% to 65%, spare-parts inventory cost by 40%, and maintenance cost by 25% to 40%. DHMSCare alerts are accurate in 90%+ of cases, so the savings rest on alerts the team can trust.