At LH Travis, we frequently tout the benefits of predictive maintenance, and for good reason. An effective predictive maintenance program reduces machine downtime and increases efficiency, but only if that program evolves along with the machinery it’s intended to protect.

Adapting Maintenance to Current Needs

Any time your machinery gets updated, your maintenance routine will also need an update. Here are some of the common hurdles that impede the adoption of effectively updated maintenance practices.

  1. Cost. Like many other aspects of business, the bottom line is what matters most. It is crucial that investments in maintenance be made wisely. Careful analysis beforehand can elucidate exactly what needs to be updated or installed. Suitable training for maintenance techs will also improve ROI, so call LH Travis if you need assistance with the training process.
  2. Staffing issues. A dedicated maintenance team with the right training ensures that processes are performed consistently and correctly. 
  3. Installation problems. Let the professionals at LH Travis handle installations and you can rest assured that all equipment and sensors are installed correctly and properly aligned. 
  4. Network malfunctions. The network infrastructure needs to be up-to-date and able to handle the transfer of data without obstruction, otherwise information isn’t going to be generated, transmitted, or recorded accurately, thereby reducing the effectiveness of that information.
  5. Machine learning used incorrectly. Machine learning algorithms can produce excellent results by performing certain actions when needed and alerting operators to impending problems in time to make corrections. Those algorithms are only as good as the data they’re based on, so call LH Travis if you’re uncertain as to how to best implement machine learning tools and reports.

When in Doubt, Call LH Travis

There’s no need to take chances by using a trial-and-error approach to your industrial maintenance procedures. Just let LH Travis conduct a comprehensive analysis and we’ll advise you on the best course of action for every aspect of your predictive maintenance programs.