A Hidden Markov Model for Condition Monitoring of a manufacturing drilling process
نویسنده
چکیده
In this paper we present an algorithm suitable for the condition monitoring of a manufacturing drilling process that will be able to detect tool wear and impending failure. The algorithm is based around a Hidden Markov Model (HMM) [5] which is trained on “normal” data obtained from the early stages of the lifetime of a drill operating under a particular drilling condition (defined by rotation speed, depth of hole, and type of lubricant). The algorithm operates by performing data fusion from multiple sensor sources, and producing a sequence of observation vectors that are then processed by the HMM. This produces an overall likelihood score for the time series of observations. In addition, we apply extreme value theory (EVT) in order to detect abnormal conditions in real time during the drilling process.
منابع مشابه
A decision fusion algorithm for tool condition monitoring in drilling using Hidden Markov Model (HMM)
In today’s world, the leading industries are very much concerned about reducing down-time and increasing the productivity as well as the quality. To increase the product quality, the tool should have good performance. Drilling process is widely used in the manufacturing operations in all the manufacturing industries. In this study, two Hidden Markov Models (HMM) such as bar-graph method and the...
متن کاملAvailability analysis of mechanical systems with condition-based maintenance using semi-Markov and evaluation of optimal condition monitoring interval
Maintenance helps to extend equipment life by improving its condition and avoiding catastrophic failures. Appropriate model or mechanism is, thus, needed to quantify system availability vis-a-vis a given maintenance strategy, which will assist in decision-making for optimal utilization of maintenance resources. This paper deals with semi-Markov process (SMP) modeling for steady state availabili...
متن کاملIntegrated Preventive and Predictive Maintenance Markov Model for Circuit Breakers Equipped With Condition Monitoring
The Circuit Breaker (CB) is one of the most important equipment in power systems. CB must operate reliably to protect power systems as well as to perform tasks such as load disconnection, normal interruption, and fault current interruption. Therefore, the reliable operation of CB can affect the security and stability of power network. In this paper, effects of Condition Monitoring (CM) of CB on...
متن کاملTaylor Expansion for the Entropy Rate of Hidden Markov Chains
We study the entropy rate of a hidden Markov process, defined by observing the output of a symmetric channel whose input is a first order Markov process. Although this definition is very simple, obtaining the exact amount of entropy rate in calculation is an open problem. We introduce some probability matrices based on Markov chain's and channel's parameters. Then, we try to obtain an estimate ...
متن کاملA Hidden Markov Model for Modeling Pavement Deterioration under Incomplete Monitoring Data
In this paper, the potential use of an exponential hidden Markov model to model a hidden pavement deterioration process, i.e. one that is not directly measurable, is investigated. It is assumed that the evolution of the physical condition, which is the hidden process, and the evolution of the values of pavement distress indicators, can be adequately described using discrete condition states and...
متن کامل